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Tailoring Continuous Word Representations for Dependency Parsing
Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
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Ameeta Agrawal
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Aijun An
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Manos Papagelis
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Learning Word Meta-Embeddings by Autoencoding
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Cong Bao
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Neural Networks Leverage Corpus-wide Information for Part-of-speech Tagging
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Weiwei Guo
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Smaranda Muresan
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Yoav Goldberg
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Yulia Tsvetkov
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Silvio Amir
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Ramón Fermandez
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Alan W Black
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Isabel Trancoso
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Chu-Cheng Lin
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Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks
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Yaqian Zhou
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Chenxi Zhu
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Manaal Faruqui
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Aleksandr Drozd
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Xiaoyong Du
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Pascal Denis
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Pascal Denis
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Lizhen Qu
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Gabriela Ferraro
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Liyuan Zhou
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Weiwei Hou
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Nathan Schneider
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Timothy Baldwin
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Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data
Long Duong
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Trevor Cohn
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Steven Bird
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Paul Cook
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Kazuma Hashimoto
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Pontus Stenetorp
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Yoshimasa Tsuruoka
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Qun Liu
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Jacob Goldberger
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Ido Dagan
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Berkay Furkan Önder
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Deniz Yuret
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Yannick Estève
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Nathalie Camelin
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Multi-prototype Chinese Character Embedding
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Yue Zhang
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Donghong Ji
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Joint Learning of Sense and Word Embeddings
Mohammed Alsuhaibani
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Danushka Bollegala
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Deep Multilingual Correlation for Improved Word Embeddings
Ang Lu
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Weiran Wang
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Marie-Catherine de Marneffe
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Benjamin Van Durme
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Raman Arora
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Unsupervised Dependency Parsing: Let’s Use Supervised Parsers
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Willem Zuidema
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Timothy Baldwin
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Word Embedding-based Antonym Detection using Thesauri and Distributional Information
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Makoto Miwa
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Yutaka Sasaki
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Yik-Cheung Tam
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Colleen Richey
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Wen Wang
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Rudramurthy V
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Pushpak Bhattacharyya
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Waleed Ammar
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Chris Dyer
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Lori Levin
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Anders Søgaard
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Franz Och
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Diarmuid Ó Séaghdha
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Blaise Thomson
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Milica Gašić
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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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Gertjan van Noord
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Sunayana Sitaram
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Patrick Littell
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David Mortensen
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Alan W Black
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Lori Levin
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Nikola Mrkšić
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Anna Korhonen
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Shuming Shi
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Haisong Zhang
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How much do word embeddings encode about syntax?
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Dan Klein
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Dan Klein
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Transition-Based Dependency Parsing with Stack Long Short-Term Memory
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Miguel Ballesteros
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Wang Ling
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Austin Matthews
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Noah A. Smith
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Silvio Amir
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Wang Ling
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Mário Silva
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James R. Curran
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Chenxi Zhu
|
Xipeng Qiu
|
Xinchi Chen
|
Xuanjing Huang
|
Sparse Overcomplete Word Vector Representations
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Dani Yogatama
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David McAllester
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Yonatan Belinkov
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Tao Lei
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Regina Barzilay
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Amir Globerson
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A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment
Jing Wang
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Kevin Gimpel
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Brian D. Ziebart
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Clement T. Yu
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evision PDF of 'From Paraphrase Database to Compositional Paraphrase Model and Back
John Wieting
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Encoding Prior Knowledge with Eigenword Embeddings
Dominique Osborne
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Shashi Narayan
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Shay B. Cohen
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Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
Nikola Mrkšić
|
Ivan Vulić
|
Diarmuid Ó Séaghdha
|
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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Learning Representations Specialized in Spatial Knowledge: Leveraging Language and Vision
Guillem Collell
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Marie-Francine Moens
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Enriching Word Sense Embeddings with Translational Context
Mehdi Ghanimifard
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Richard Johansson
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Joint Unsupervised Learning of Semantic Representation of Words and Roles in Dependency Trees
Michal Konkol
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VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems
Yonatan Belinkov
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Mitra Mohtarami
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Scott Cyphers
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James Glass
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INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces
Ramon Astudillo
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Silvio Amir
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Wang Ling
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Bruno Martins
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Mario J. Silva
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Isabel Trancoso
|
Quantificational features in distributional word representations
Tal Linzen
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Emmanuel Dupoux
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Benjamin Spector
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Merging Verb Senses of Hindi WordNet using Word Embeddings
Sudha Bhingardive
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Ratish Puduppully
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Dhirendra Singh
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Pushpak Bhattacharyya
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Exploring Options for Fast Domain Adaptation of Dependency Parsers
Viktor Pekar
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Juntao Yu
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Mohab El-karef
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Bernd Bohnet
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Dependency Link Embeddings: Continuous Representations of Syntactic Substructures
Mohit Bansal
|
A Vector Space Approach for Aspect Based Sentiment Analysis
Abdulaziz Alghunaim
|
Mitra Mohtarami
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Scott Cyphers
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Jim Glass
|
Adapting word2vec to Named Entity Recognition
Scharolta Katharina Sienčnik
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Enhancing the Inside-Outside Recursive Neural Network Reranker for Dependency Parsing
Phong Le
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Parser Adaptation to the Biomedical Domain without Re-Training
Jeff Mitchell
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Mark Steedman
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Detection of Multiword Expressions for Hindi Language using Word Embeddings and WordNet-based Features
Dhirendra Singh
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Sudha Bhingardive
|
Kevin Patel
|
Pushpak Bhattacharyya
|
Mapping Unseen Words to Task-Trained Embedding Spaces
Pranava Swaroop Madhyastha
|
Mohit Bansal
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Kevin Gimpel
|
Karen Livescu
|
Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov
|
Manaal Faruqui
|
Chris Dyer
|
Sentence Embedding Evaluation Using Pyramid Annotation
Tal Baumel
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Raphael Cohen
|
Michael Elhadad
|
Semantic Indexing of Multilingual Corpora and its Application on the History Domain
Alessandro Raganato
|
Jose Camacho-Collados
|
Antonio Raganato
|
Yunseo Joung
|
Replacing OOV Words For Dependency Parsing With Distributional Semantics
Prasanth Kolachina
|
Martin Riedl
|
Chris Biemann
|
Finnish resources for evaluating language model semantics
Viljami Venekoski
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Jouko Vankka
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Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems
Syed Sarfaraz Akhtar
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Arihant Gupta
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Avijit Vajpayee
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Arjit Srivastava
|
Manish Shrivastava
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Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context
Shyam Upadhyay
|
Kai-Wei Chang
|
Matt Taddy
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Adam Kalai
|
James Zou
|
Learning to Embed Words in Context for Syntactic Tasks
Lifu Tu
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Kevin Gimpel
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Karen Livescu
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Prepositional Phrase Attachment over Word Embedding Products
Pranava Swaroop Madhyastha
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Xavier Carreras
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Ariadna Quattoni
|
Reducing Lexical Features in Parsing by Word Embeddings
Hiroya Komatsu
|
Ran Tian
|
Naoaki Okazaki
|
Kentaro Inui
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