lexical features
Non lexical Features Encode Political Affiliation on Twitter
... Characterizing social media users based on their political affiliation is an ongoing challenge in Nat- ural Language Processing and Computational So- cial Science (Conover et al., 2011; Cohen and Ruths, 2013; Sylwester ...
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Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power
... as lexical characteristics such as average frequency and the imageability of words used (Bird et ...and lexical features with ASR-transcription for the diagnosis of primary progressive aphasia with a ...
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Lexical Features in Coreference Resolution: To be Used With Caution
... In this paper, we show that if we mainly rely on lexical features, as it is the case in state-of-the- art coreference resolvers, overfitting become more sever. Overfitting to the training dataset is a prob- ...
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Authorial Studies using Ranked Lexical Features
... The features generally considered to characterize the style of an author are function words - conjunctions, prepositions, pronouns, determiners, particles, ...syntactic features and tying semantics ...right ...
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Reducing Lexical Features in Parsing by Word Embeddings
... of lexical features in parsing can be memory consuming and cause over-fitting ...all lexical feature tem- plates by low-dimensional features induced from word ...string features, and ...
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On the Distribution of Lexical Features at Multiple Levels of Analysis
... of lexical features in ...language features (words, LDA topics, and hand-curated word sets) vary with level of analysis (message, user, and ...
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Relevance Prediction in Information Extraction using Discourse and Lexical Features
... The relevance classifiers form a component of the on-line news monitoring, to predict the rele- vance of extracted events to the users. In the ex- periments in the business domain, the discourse features alone ...
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Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition
... We propose a novel tensor embedding method that can effectively extract lexical features for humor recognition. Specifically, we use word- word co-occurrence to encode the contextual content of documents, ...
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Embedding Lexical Features via Low Rank Tensors
... of lexical features: ...the lexical parts of features ; Sriku- mar and Manning (2014), Gormley et ...splitting lexical fea- tures into different parts and employing tensors to perform ...
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On the Role of Lexical Features in Sequence Labeling
... ware package, with the default C value of 1. This setting is shown to produce good results for se- quence labeling tasks in previous work (Kudo and Matsumoto, 2000), and is what most end-users of SVM classifiers are ...
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Codeswitching Detection via Lexical Features in Conditional Random Fields
... Half of the world’s population is estimated to be at least bilingual. Due to this fact many people use multiple languages interchange- ably for effective communication. At the Sec- ond Workshop on Computational ...
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Improving Chunk-based Semantic Role Labeling with Lexical Features
... Features for SRL are usually extracted from chunks or constituent parse trees. While parse trees allow a set of very informative path-based, structural features, chunks can provide more re- liable ...
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Using lexical and Dependency Features to Disambiguate Discourse Connectives in Hindi
... simple lexical features. Language spe- cific features can be then explored depending upon addi- tional information present (constituent parse trees for En- glish and dependency parse trees for Hindi) ...
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PuPoCl: Development of Punjabi Poetry Classifier Using Linguistic Features and Weighting
... 45667 features were extracted and passed to noise removal sub ...31938 features were extracted, after removal of noise, and weighted using term frequency and the entire process is repeated for tf-idf ...
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Supervised All Words Lexical Substitution using Delexicalized Features
... supervised lexical substitu- tion system that does not use separate clas- sifiers per word and is therefore applicable to any word in the ...for lexical substitution is trained on delexicalized (i.e., non ...
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Readability Classification for German using Lexical, Syntactic, and Morphological Features
... the lexical richness measures that were originally devel- oped for judging the proficiency of second language learners (Lu, 2011) for English readability ...these features for German and added some further ...
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Co Occurrence Cluster Features for Lexical Substitutions in Context
... of features but models correlations between them explicitly, which is highly desirable here since both baseline and co-occurrence cluster features are expected to be highly ...nominal features, so it ...
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Bengali Question Classification: Towards Developing QA System
... Lexical features of a question are generally extracted based on the context words of the question, ...five lexical features as below- wh-word, wh-word position and wh-type: Question’s wh-word ...
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Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation
... the features used to represent the context in which an ambiguous word ...and lexical features will perform most effec- ...ple lexical features perform well on their ...ent ...
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Identification of Differences between Dutch Language Varieties with the VarDial2018 Dutch Flemish Subtitle Data
... The next level of features are those which can be extracted after POS tagging (below called tagging features). Frog yields an annotation with the tagset created for the Spoken Dutch Corpus (Oostdijk et al., ...
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