[PDF] Top 20 Word Embeddings as Features for Supervised Coreference Resolution
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Word Embeddings as Features for Supervised Coreference Resolution
... On the topic of selecting a word embedding model, we made several observations. In the au- tomatic evaluation and error analysis for most of our experiments, including ones not reported here, the glove word ... See full document
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Reducing Lexical Features in Parsing by Word Embeddings
... training word vectors (Mnih and Hinton, 2009; Mikolov et ...utilizing word vectors in various NLP tasks (Turian et ...ical features by word ... See full document
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Exploring Semi Supervised Coreference Resolution of Medical Concepts using Semantic and Temporal Features
... extract features based on semantic and tempo- ral relatedness for each pair of medical ...temporal features helps identify conditionally inde- pendent views of the data for co-training ...semantic ... See full document
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Supervised Coreference Resolution with SUCRE
... These features consist of string- based features, distance features, span features, part- of-speech features, grammatical features, and agree- ment ... See full document
5
A supervised approach to taxonomy extraction using word embeddings
... individual features using the greedy taxonomy construction procedure as described ...baseline features, Jaccard similarity (Sec- tion ...The supervised re- sults for the SVD and the combination of ... See full document
6
Machine Comprehension with Syntax, Frames, and Semantics
... baseline features with features based on syntax, frame semantics, coreference, and word embeddings, and combining them in a max-margin learning ... See full document
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Supervised Word Sense Disambiguation with Sentences Similarities from Context Word Embeddings
... dresses supervised WSD with word embeddings is by Sugawara(Sugawara et ...context word embeddings (CWE) are merged, and they are used for training a classifier and ...the word in ... See full document
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Semi Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains
... of word embed- dings and the adaptation ...of word embeddings lead to improvements on lexical sample ...CW word embeddings over the base- line are significant (p < ...adapted ... See full document
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Domain Specific Coreference Resolution with Lexicalized Features
... lexical features in greater detail and showed their benefit on the ACE05 corpus independent of, and combined with, a conventional set of coreference ...lexical word pairs for the 2011 CoNLL Shared ... See full document
6
Unsupervised Event Coreference Resolution with Rich Linguistic Features
... on supervised learning methods that explore various linguistic properties in order to de- cide if a pair of event mentions is coreferential or not (Humphreys et ...event coreference resolution is a ... See full document
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Bootstrapping coreference resolution using word associations
... In this paper, we have demonstrated the utility of association information for coreference resolution. We first developed a simple unsupervised model for shallow CoRe that only uses association information ... See full document
10
Understanding the Value of Features for Coreference Resolution
... our features are similar to those described in Culotta et ...Relation Features, Gender and Num- ber Match, WordNet Features, Alias, Apposition, Relative Pronoun, and Both Mentions ...those ... See full document
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Simple Coreference Resolution with Rich Syntactic and Semantic Features
... Coreference systems are driven by syntactic, se- mantic, and discourse constraints. We present a simple approach which completely modularizes these three aspects. In contrast to much current work, which focuses on ... See full document
10
Exploring Lexicalized Features for Coreference Resolution
... During both training and decoding, we employed the same mention detection and preprocessing steps. We considered all the noun phrases (NP) and posses- sive pronouns (PRP$) as mentions. In order to ex- tract head words ... See full document
6
Syntactic Features and Word Similarity for Supervised Metonymy Resolution
... Problem 1. The feature can be too simplistic, so that decisions based on the head-modifier relation can assign the wrong reading in the following cases: • “Bad” heads: Some lexical heads are semanti- cally empty, thus ... See full document
8
Supervised Models for Coreference Resolution
... cluster-level features. In other words, the model still relies heavily on features used in a mention-pair ...learning-based coreference resolvers only ... See full document
10
Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts
... with coreference resolution and entity ...of features into mention, mention-pair, cluster, and mention-cluster embeddings that are optimized for entity predic- ...Our coreference ... See full document
10
Singleton Detection using Word Embeddings and Neural Networks
... the coreference resolution sys- tems we evaluate with here do not make use of ...using embeddings as an ad- ditional data source can aid in filtering out those singletons which are problematic for ... See full document
7
Multi Lingual Coreference Resolution With Syntactic Features
... pronoun-related features are not trained as well as in English and ...count features are filtered out, the sparsity of pronoun events prevent many compound features ...distance features) from ... See full document
8
Lexical Features in Coreference Resolution: To be Used With Caution
... lexical features are a major source of information in current corefer- ence ...resolvers. Coreference resolution is a set par- titioning problem in which each resulting partition refers to an ... See full document
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