NLPExplorer

SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation

Felix Hill | Roi Reichart | Anna Korhonen |

Paper Details:

Month: December
Year: 2015

Venue: CL |

Citations

URL

Predicting human similarity judgments with distributional models: The value of word associations.
Simon De Deyne | Amy Perfors | Daniel J Navarro |

Neural-based Noise Filtering from Word Embeddings
Kim Anh Nguyen | Sabine Schulte im Walde | Ngoc Thang Vu |

Language classification from bilingual word embedding graphs
Steffen Eger | Armin Hoenen | Alexander Mehler |

From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources
Ilia Kuznetsov | Iryna Gurevych |

Encoding Sentiment Information into Word Vectors for Sentiment Analysis
Zhe Ye | Fang Li | Timothy Baldwin |

Diachronic word embeddings and semantic shifts: a survey
Andrey Kutuzov | Lilja Øvrelid | Terrence Szymanski | Erik Velldal |

Aff2Vec: Affect–Enriched Distributional Word Representations
Sopan Khosla | Niyati Chhaya | Kushal Chawla |

Multimodal Grounding for Language Processing
Lisa Beinborn | Teresa Botschen | Iryna Gurevych |

What’s in Your Embedding, And How It Predicts Task Performance
Anna Rogers | Shashwath Hosur Ananthakrishna | Anna Rumshisky |

AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and Relatedness
Gökhan Ercan | Olcay Taner Yıldız |

Visual Bilingual Lexicon Induction with Transferred ConvNet Features
Douwe Kiela | Ivan Vulić | Stephen Clark |

Factorization of Latent Variables in Distributional Semantic Models
Arvid Österlund | David Ödling | Magnus Sahlgren |

A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
Shaohua Li | Jun Zhu | Chunyan Miao |

Specializing Word Embeddings for Similarity or Relatedness
Douwe Kiela | Felix Hill | Stephen Clark |

Multi- and Cross-Modal Semantics Beyond Vision: Grounding in Auditory Perception
Douwe Kiela | Stephen Clark |

Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics
Douwe Kiela | Anita Lilla Verő | Stephen Clark |

LAMB: A Good Shepherd of Morphologically Rich Languages
Sebastian Ebert | Thomas Müller | Hinrich Schütze |

The Effects of Data Size and Frequency Range on Distributional Semantic Models
Magnus Sahlgren | Alessandro Lenci |

Charagram: Embedding Words and Sentences via Character n-grams
John Wieting | Mohit Bansal | Kevin Gimpel | Karen Livescu |

Improving Sparse Word Representations with Distributional Inference for Semantic Composition
Thomas Kober | Julie Weeds | Jeremy Reffin | David Weir |

Learning Chinese Word Representations From Glyphs Of Characters
Tzu-Ray Su | Hung-Yi Lee |

Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding
Joseph Sanu | Mingbin Xu | Hui Jiang | Quan Liu |

Incremental Skip-gram Model with Negative Sampling
Nobuhiro Kaji | Hayato Kobayashi |

Rotated Word Vector Representations and their Interpretability
Sungjoon Park | JinYeong Bak | Alice Oh |

Sound-Word2Vec: Learning Word Representations Grounded in Sounds
Ashwin Vijayakumar | Ramakrishna Vedantam | Devi Parikh |

Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation
Ivan Vulić | Nikola Mrkšić | Anna Korhonen |

Quantifying the Effects of Text Duplication on Semantic Models
Alexandra Schofield | Laure Thompson | David Mimno |

Associative Multichannel Autoencoder for Multimodal Word Representation
Shaonan Wang | Jiajun Zhang | Chengqing Zong |

Improving Cross-Lingual Word Embeddings by Meeting in the Middle
Yerai Doval | Jose Camacho-Collados | Luis Espinosa-Anke | Steven Schockaert |

Quantifying Context Overlap for Training Word Embeddings
Yimeng Zhuang | Jinghui Xie | Yinhe Zheng | Xuan Zhu |

Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models
Mohammad Taher Pilehvar | Dimitri Kartsaklis | Victor Prokhorov | Nigel Collier |

Streaming word similarity mining on the cheap
Olof Görnerup | Daniel Gillblad |

Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Tom Bosc | Pascal Vincent |

Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research
Haim Dubossarsky | Eitan Grossman | Daphna Weinshall |

How to represent a word and predict it, too: Improving tied architectures for language modelling
Kristina Gulordava | Laura Aina | Gemma Boleda |

Learning Universal Sentence Representations with Mean-Max Attention Autoencoder
Minghua Zhang | Yunfang Wu | Weikang Li | Wei Li |

Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation
Ivan Vulić | Douwe Kiela | Anna Korhonen |

Building Lexical Vector Representations from Concept Definitions
Danilo Silva de Carvalho | Minh Le Nguyen |

The Language of Place: Semantic Value from Geospatial Context
Anne Cocos | Chris Callison-Burch |

Using the Output Embedding to Improve Language Models
Ofir Press | Lior Wolf |

Cross-Lingual Syntactically Informed Distributed Word Representations
Ivan Vulić |

The Interplay of Semantics and Morphology in Word Embeddings
Oded Avraham | Yoav Goldberg |

Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language
Maximilian Köper | Sabine Schulte im Walde |

A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding
Joohee Park | Sung-hyon Myaeng |

Geographical Evaluation of Word Embeddings
Michal Konkol | Tomáš Brychcín | Michal Nykl | Tomáš Hercig |

Measuring Semantic Relations between Human Activities
Steven Wilson | Rada Mihalcea |

Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini | Jose Camacho-Collados | Ignacio Iacobacci | Roberto Navigli |

Learning Word Representations with Regularization from Prior Knowledge
Yan Song | Chia-Jung Lee | Fei Xia |

Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge
Steven Derby | Paul Miller | Brian Murphy | Barry Devereux |

Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation
Mikel Artetxe | Gorka Labaka | Iñigo Lopez-Gazpio | Eneko Agirre |

Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data
Ábel Elekes | Adrian Englhardt | Martin Schäler | Klemens Böhm |

Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)
Trevor Cohen | Dominic Widdows |

Exploitation of Co-reference in Distributional Semantics
Dominik Schlechtweg |

Concepticon: A Resource for the Linking of Concept Lists
Johann-Mattis List | Michael Cysouw | Robert Forkel |

EVALution-MAN: A Chinese Dataset for the Training and Evaluation of DSMs
Liu Hongchao | Karl Neergaard | Enrico Santus | Chu-Ren Huang |

Joint Learning of Sense and Word Embeddings
Mohammed Alsuhaibani | Danushka Bollegala |

Acquiring Verb Classes Through Bottom-Up Semantic Verb Clustering
Olga Majewska | Diana McCarthy | Ivan Vulić | Anna Korhonen |

Urdu Word Embeddings
Samar Haider |

Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities
Steffen Remus | Chris Biemann |

Evaluation of Domain-specific Word Embeddings using Knowledge Resources
Farhad Nooralahzadeh | Lilja Øvrelid | Jan Tore Lønning |

Evaluation of Croatian Word Embeddings
Lukáš Svoboda | Slobodan Beliga |

SentEval: An Evaluation Toolkit for Universal Sentence Representations
Alexis Conneau | Douwe Kiela |

MGAD: Multilingual Generation of Analogy Datasets
Mostafa Abdou | Artur Kulmizev | Vinit Ravishankar |

SimLex-999 for Polish
Agnieszka Mykowiecka | Małgorzata Marciniak | Piotr Rychlik |

Learning Distributed Representations of Sentences from Unlabelled Data
Felix Hill | Kyunghyun Cho | Anna Korhonen |

Learning Visually Grounded Sentence Representations
Douwe Kiela | Alexis Conneau | Allan Jabri | Maximilian Nickel |

Can Network Embedding of Distributional Thesaurus Be Combined with Word Vectors for Better Representation?
Abhik Jana | Pawan Goyal |

Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Ivan Vulić | Goran Glavaš | Nikola Mrkšić | Anna Korhonen |

Querying Word Embeddings for Similarity and Relatedness
Fatemeh Torabi Asr | Robert Zinkov | Michael Jones |

DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors
Prodromos Kolyvakis | Alexandros Kalousis | Dimitris Kiritsis |

Specialising Word Vectors for Lexical Entailment
Ivan Vulić | Nikola Mrkšić |

Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
Yan Song | Shuming Shi | Jing Li | Haisong Zhang |

Frustratingly Easy Meta-Embedding – Computing Meta-Embeddings by Averaging Source Word Embeddings
Joshua Coates | Danushka Bollegala |

Introducing Two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness
Kim Anh Nguyen | Sabine Schulte im Walde | Ngoc Thang Vu |

Towards Qualitative Word Embeddings Evaluation: Measuring Neighbors Variation
Bénédicte Pierrejean | Ludovic Tanguy |

A Deeper Look into Dependency-Based Word Embeddings
Sean MacAvaney | Amir Zeldes |

Grounding Semantics in Olfactory Perception
Douwe Kiela | Luana Bulat | Stephen Clark |

Non-distributional Word Vector Representations
Manaal Faruqui | Chris Dyer |

Learning Word Meta-Embeddings
Wenpeng Yin | Hinrich Schütze |

Commonsense Knowledge Base Completion
Xiang Li | Aynaz Taheri | Lifu Tu | Kevin Gimpel |

Multiplicative Representations for Unsupervised Semantic Role Induction
Yi Luan | Yangfeng Ji | Hannaneh Hajishirzi | Boyang Li |

Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations
Alexandre Salle | Aline Villavicencio | Marco Idiart |

Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction
Kim Anh Nguyen | Sabine Schulte im Walde | Ngoc Thang Vu |

Is “Universal Syntax” Universally Useful for Learning Distributed Word Representations?
Ivan Vulić | Anna Korhonen |

MMFeat: A Toolkit for Extracting Multi-Modal Features
Douwe Kiela |

An Empirical Study on End-to-End Sentence Modelling
Kurt Junshean Espinosa |

Explicit Retrofitting of Distributional Word Vectors
Goran Glavaš | Ivan Vulić |

Bridging Languages through Images with Deep Partial Canonical Correlation Analysis
Guy Rotman | Ivan Vulić | Roi Reichart |

Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search
Jamie Kiros | William Chan | Geoffrey Hinton |

Fully Statistical Neural Belief Tracking
Nikola Mrkšić | Ivan Vulić |

Using pseudo-senses for improving the extraction of synonyms from word embeddings
Olivier Ferret |

Do Neural Network Cross-Modal Mappings Really Bridge Modalities?
Guillem Collell | Marie-Francine Moens |

A Rank-Based Similarity Metric for Word Embeddings
Enrico Santus | Hongmin Wang | Emmanuele Chersoni | Yue Zhang |

evision PDF of 'From Paraphrase Database to Compositional Paraphrase Model and Back
John Wieting | Mohit Bansal | Kevin Gimpel | Karen Livescu |

Encoding Prior Knowledge with Eigenword Embeddings
Dominique Osborne | Shashi Narayan | Shay B. Cohen |

Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets
Rotem Dror | Gili Baumer | Marina Bogomolov | Roi Reichart |

Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov | James Glass |

Enriching Word Sense Embeddings with Translational Context
Mehdi Ghanimifard | Richard Johansson |

Towards Lexical Chains for Knowledge-Graph-based Word Embeddings
Kiril Simov | Svetla Boytcheva | Petya Osenova |

Quantificational features in distributional word representations
Tal Linzen | Emmanuel Dupoux | Benjamin Spector |

SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity
Jose Camacho-Collados | Mohammad Taher Pilehvar | Nigel Collier | Roberto Navigli |

SemEval-2018 Task 10: Capturing Discriminative Attributes
Alicia Krebs | Alessandro Lenci | Denis Paperno |

Discriminator at SemEval-2018 Task 10: Minimally Supervised Discrimination
Artur Kulmizev | Mostafa Abdou | Vinit Ravishankar | Malvina Nissim |

The Limitations of Cross-language Word Embeddings Evaluation
Amir Bakarov | Roman Suvorov | Ilya Sochenkov |

Design of Word Association Games using Dialog Systems for Acquisition of Word Association Knowledge
Yuichiro Machida | Daisuke Kawahara | Sadao Kurohashi | Manabu Sassano |

Functional Distributional Semantics
Guy Emerson | Ann Copestake |

Adjusting Word Embeddings with Semantic Intensity Orders
Joo-Kyung Kim | Marie-Catherine de Marneffe | Eric Fosler-Lussier |

Parameterized context windows in Random Indexing
Tobias Norlund | David Nilsson | Magnus Sahlgren |

Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance
Billy Chiu | Anna Korhonen | Sampo Pyysalo |

Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui | Yulia Tsvetkov | Pushpendre Rastogi | Chris Dyer |

Intrinsic Evaluations of Word Embeddings: What Can We Do Better?
Anna Gladkova | Aleksandr Drozd |

Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations
José Camacho-Collados | Roberto Navigli |

Evaluating Embeddings using Syntax-based Classification Tasks as a Proxy for Parser Performance
Arne Köhn |

Evaluating vector space models using human semantic priming results
Allyson Ettinger | Tal Linzen |

Improving Reliability of Word Similarity Evaluation by Redesigning Annotation Task and Performance Measure
Oded Avraham | Yoav Goldberg |

Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov | Manaal Faruqui | Chris Dyer |

A Proposal for Linguistic Similarity Datasets Based on Commonality Lists
Dmitrijs Milajevs | Sascha Griffiths |

How to Train good Word Embeddings for Biomedical NLP
Billy Chiu | Gamal Crichton | Anna Korhonen | Sampo Pyysalo |

Exploration of register-dependent lexical semantics using word embeddings
Andrey Kutuzov | Elizaveta Kuzmenko | Anna Marakasova |

Evaluation of distributional semantic models: a holistic approach
Gabriel Bernier-Colborne | Patrick Drouin |

Relating semantic similarity and semantic association to how humans label other people
Kenneth Joseph | Kathleen M. Carley |

Finnish resources for evaluating language model semantics
Viljami Venekoski | Jouko Vankka |

Redefining Context Windows for Word Embedding Models: An Experimental Study
Pierre Lison | Andrey Kutuzov |

Complex Verbs are Different: Exploring the Visual Modality in Multi-Modal Models to Predict Compositionality
Maximilian Köper | Sabine Schulte im Walde |

Spectral Graph-Based Method of Multimodal Word Embedding
Kazuki Fukui | Takamasa Oshikiri | Hidetoshi Shimodaira |

Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks
Jeremy Auguste | Arnaud Rey | Benoit Favre |

Fully Delexicalized Contexts for Syntax-Based Word Embeddings
Jenna Kanerva | Sampo Pyysalo | Filip Ginter |

Semantic Composition via Probabilistic Model Theory
Guy Emerson | Ann Copestake |

Incorporating visual features into word embeddings: A bimodal autoencoder-based approach
Mika Hasegawa | Tetsunori Kobayashi | Yoshihiko Hayashi |

There’s no ‘Count or Predict’ but task-based selection for distributional models
Martin Riedl | Chris Biemann |

Subword-level Composition Functions for Learning Word Embeddings
Bofang Li | Aleksandr Drozd | Tao Liu | Xiaoyong Du |

Incorporating Subword Information into Matrix Factorization Word Embeddings
Alexandre Salle | Aline Villavicencio |

Subcharacter Information in Japanese Embeddings: When Is It Worth It?
Marzena Karpinska | Bofang Li | Anna Rogers | Aleksandr Drozd |

Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons
Hwiyeol Jo | Stanley Jungkyu Choi |

WordNet Embeddings
Chakaveh Saedi | António Branco | João António Rodrigues | João Silva |

Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation
Ivan Vulić |

From Fidelity to Fluency: Natural Language Processing for Translator Training
Oi Yee Kwong |

Field Of Study

Linguistic Trends

Lexical Semantics Distributional Semantics Embeddings Ontologies

Task

Machine Translation

Approach

Representation Learning

Language

English

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