[PDF] Top 20 Specialising Word Vectors for Lexical Entailment
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Specialising Word Vectors for Lexical Entailment
... input lexical resources, similar to the recent post-specialisation model oriented towards special- isation of unseen words for similarity (Vuli´c et ...specialised vectors in downstream natural language ... See full document
12
The Distributional Inclusion Hypotheses and Lexical Entailment
... a lexical entailment relation that corresponds to the above mentioned substitutability criterion, and is termed meaning entailing substitutability (which we term here for brevity as lexical ... See full document
8
Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment
... ical entailment on five data sets: two consisting of only hypernymy, and three covering a wide variety of other entailing word ...distributional vectors may simply be the wrong tool for the ... See full document
10
Distributional Lexical Entailment by Topic Coherence
... ply lexical entailment information to NLP appli- cations (Bos and Markert, ...detecting lexical en- tailment have been developed using distributional semantics (Weeds and Weir, 2003; Weeds et ... See full document
9
Entailment above the word level in distributional semantics
... distributional vectors (Baroni and Zamparelli, 2010; Grefenstette and Sadrzadeh, 2011; Gue- vara, 2010; Mitchell and Lapata, ...the lexical emphasis of DS, this strand has focused on inference at the ... See full document
10
Sparse Bilingual Word Representations for Cross lingual Lexical Entailment
... address lexical entailment out of context, based on word rep- resentations that collapse multiple word senses into a single vector ...dense vectors (Jauhar et ...study lexical ... See full document
11
A Vector Space for Distributional Semantics for Entailment
... semantic entailment has been less ...and entailment operators over vectors of probabilities of features being known (ver- sus ...an entailment-based model of the distributions of words in ... See full document
11
Representing Meaning with a Combination of Logical and Distributional Models
... distributional lexical features; in fact, they do not perform even as well as features that make predictions using only Wordform ...on word similarity of greedily aligned words (or alignment ...phrasal ... See full document
46
Instance Based Lexical Entailment for Ontology Population
... the word is located is a cru- cial information for ...the word virus can be solved by simply considering the domain of the con- text in which it is ...the word to be disambiguated, regardless of the ... See full document
9
On demand Injection of Lexical Knowledge for Recognising Textual Entailment
... Perhaps the most similar strategies to ours are those of Tian et al. (2014) and Beltagy et al. (2016), where the authors produce on-the- fly knowledge when the hypothesis H cannot be proved. In the work of Tian et al. ... See full document
11
Specializing Distributional Vectors of All Words for Lexical Entailment
... tributional word vectors using lexical knowl- edge from external resources ...only vectors of words seen in the ex- ternal ...specializes vectors of all vocabulary words – including ... See full document
12
Generalized Tuning of Distributional Word Vectors for Monolingual and Cross Lingual Lexical Entailment
... the vectors to conform to external linguis- tic constraints ...LE word pairs) in order to emphasize the lexico-semantic relation of interest ...association. Lexical specialization models gener- ally ... See full document
7
Multilingual and Cross Lingual Graded Lexical Entailment
... rearrange vectors of words in these pairs, that is, to preserve the cosine dis- tances in the specialised space while steering vec- tors of more general concepts to take larger norms, as shown in Figure 1 and ... See full document
12
Exploiting Image Generality for Lexical Entailment Detection
... We believe that image generality may be par- ticularly suited to entailment detection because it does not suffer from the same issues as linguis- tic distributional generality. Herbelot and Gane- salingam (2013) ... See full document
6
Scoring Lexical Entailment with a Supervised Directional Similarity Network
... rameters. The input embeddings are trained to pre- dict surrounding words on a large unannotated cor- pus using the skip-gram objective (Mikolov et al., 2013), making the resulting vector space reflect (a broad relation ... See full document
6
Arabic Textual Entailment with Word Embeddings
... true entailment if the rela- tion holds and false ...basic lexical features to deep semantic features (Inkpen et ...the entailment recognition system (Iftene and Moruz, 2009; Mehdad et ...model ... See full document
6
UNL Lexical Selection with Conceptual Vectors
... encounter lexical items (called UWs) made of an English headword and formalized semantic restrictions, such as "look for (icl>do, agt>person)" , which are not yet connected to lemmas, so that is it ... See full document
7
The Word Frequency Effect: Relationship of Lexical Entries Between the Primary and Secondary Language
... bilinguals, lexical processing may require more time because of weaker representations; Diependaele et ...the lexical entrenchment hypothesis using a lexical decision task, a more commonly used tool ... See full document
58
Recognizing Textual Entailment in Twitter Using Word Embeddings
... In this paper we’ve investigated the use of current day classification tools for the task of recognizing textual entailment in Twitter data. We’ve shown that the same neural network models successfully used in the ... See full document
5
Community Evaluation and Exchange of Word Vectors at wordvectors org
... the word beautiful for two available embeddings. The second default word plot is the gender data set, every word in which has a male and a female counterpart ... See full document
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