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Counter-fitting Word Vectors to Linguistic Constraints
Nikola Mrkšić
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Diarmuid Ó Séaghdha
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Blaise Thomson
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Milica Gašić
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Lina M. Rojas-Barahona
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Pei-Hao Su
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David Vandyke
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Tsung-Hsien Wen
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Steve Young
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Survey on the Use of Typological Information in Natural Language Processing
Helen O’Horan
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Yevgeni Berzak
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Ivan Vulić
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Roi Reichart
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Anna Korhonen
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Encoding Sentiment Information into Word Vectors for Sentiment Analysis
Zhe Ye
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Fang Li
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Timothy Baldwin
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Aff2Vec: Affect–Enriched Distributional Word Representations
Sopan Khosla
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Niyati Chhaya
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Kushal Chawla
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Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
Ben Lengerich
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Andrew Maas
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Christopher Potts
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SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity
Daniela Gerz
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Ivan Vulić
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Felix Hill
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Roi Reichart
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Anna Korhonen
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Hierarchical Embeddings for Hypernymy Detection and Directionality
Kim Anh Nguyen
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Maximilian Köper
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Sabine Schulte im Walde
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Ngoc Thang Vu
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Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations
Goran Glavaš
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Simone Paolo Ponzetto
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Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation
Ivan Vulić
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Nikola Mrkšić
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Anna Korhonen
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Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
Edoardo Maria Ponti
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Ivan Vulić
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Goran Glavaš
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Nikola Mrkšić
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Anna Korhonen
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Dynamic Meta-Embeddings for Improved Sentence Representations
Douwe Kiela
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Changhan Wang
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Kyunghyun Cho
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Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Tom Bosc
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Pascal Vincent
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Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation
Akira Utsumi
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Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation
Ivan Vulić
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Douwe Kiela
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Anna Korhonen
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Robust Training under Linguistic Adversity
Yitong Li
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Trevor Cohn
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Timothy Baldwin
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Learning to Negate Adjectives with Bilinear Models
Laura Rimell
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Amandla Mabona
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Luana Bulat
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Douwe Kiela
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Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering
João Sedoc
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Daniel Preoţiuc-Pietro
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Lyle Ungar
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Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion
Olivier Ferret
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Injecting Word Embeddings with Another Language’s Resource : An Application of Bilingual Embeddings
Prakhar Pandey
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Vikram Pudi
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Manish Shrivastava
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Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities
Steffen Remus
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Chris Biemann
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Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Ivan Vulić
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Goran Glavaš
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Nikola Mrkšić
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Anna Korhonen
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Specialising Word Vectors for Lexical Entailment
Ivan Vulić
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Nikola Mrkšić
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Mittens: an Extension of GloVe for Learning Domain-Specialized Representations
Nicholas Dingwall
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Christopher Potts
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Semantic Word Clusters Using Signed Spectral Clustering
João Sedoc
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Jean Gallier
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Dean Foster
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Lyle Ungar
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Neural Belief Tracker: Data-Driven Dialogue State Tracking
Nikola Mrkšić
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Diarmuid Ó Séaghdha
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Tsung-Hsien Wen
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Blaise Thomson
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Steve Young
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Explicit Retrofitting of Distributional Word Vectors
Goran Glavaš
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Ivan Vulić
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ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
John Wieting
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Kevin Gimpel
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Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings
Maksim Tkachenko
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Chong Cher Chia
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Hady Lauw
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AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Dongyeop Kang
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Tushar Khot
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Ashish Sabharwal
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Eduard Hovy
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Fully Statistical Neural Belief Tracking
Nikola Mrkšić
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Ivan Vulić
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Using pseudo-senses for improving the extraction of synonyms from word embeddings
Olivier Ferret
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Scoring Lexical Entailment with a Supervised Directional Similarity Network
Marek Rei
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Daniela Gerz
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Ivan Vulić
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Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
Nikola Mrkšić
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Ivan Vulić
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Diarmuid Ó Séaghdha
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Ira Leviant
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Roi Reichart
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Milica Gašić
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Anna Korhonen
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Steve Young
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Adjusting Word Embeddings with Semantic Intensity Orders
Joo-Kyung Kim
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Marie-Catherine de Marneffe
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Eric Fosler-Lussier
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Using Embedding Masks for Word Categorization
Stefan Ruseti
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Traian Rebedea
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Stefan Trausan-Matu
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BIBI System Description: Building with CNNs and Breaking with Deep Reinforcement Learning
Yitong Li
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Trevor Cohn
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Timothy Baldwin
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Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation
Ivan Vulić
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http://www.cl
Field Of Study
Linguistic Trends
Discourse
Embeddings
Ontologies
Task
Textual Entailment
Semantic Similarity
Machine Translation
Approach
Deep Learning
Unsupervised Learning
Language
Chinese
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