Лексическая семантика

Most linguistic studies of human-computer communication have focused on the issues of syntax and discourse structure. However, another interesting and important area is the lexical semantics of command languages. The …...

The focus of this article is the integra- tion of two different perspectives on lexi- cal semantics: Discourse Representation Theory's (DRT) inferentially motivated approach and Semantic Emphasis The- ory's (SET) …...

Semantic relationships among words and phrases are often marked by explicit syntactic or lexical clues that help recognize such rela~ tionships in texts. Within complex nominals, however, few overt clues …...

Interaction of lexical and derivational semantics---for example substitution and lambda conversion--- is typically a part of the on-line interpretation process. Proof-nets are to categorial grammar what phrase markers are to …...

The Semantic Knowledge-base of Contemporary Chinese (SKCC) is a large scale Chinese semantic resource developed by the Institute of Computational Linguistics of Peking University. It provides a large amount of …...

. This paper describes a modeling in a logical framework of the semantic content of a class of action nouns in French that are ambiguous between a processive interpretation and …...

. This paper presents an analysis of the language of patents, as a contribution to the field of English for Specific Purposes (ESP). While there work appears to fill a …...

AbstractThis article presents a new freely available trilingual corpus (Catalan, Spanish, English) that contains large portions of the Wikipedia and has been automatically enriched with linguistic information. To our knowledge, …...

Noticing that different information sources of- ten provide complementary coverage of word sense and meaning, we propose a simple and yet effective strategy for measuring lexical se- mantics. Our model …...

Automatic error correction systems for English as a Second Language(ESL) speakers often rely on the use of a confusion set to limit the choices of possible correction candidates. Typically, the …...

We created a dataset of syntactic-ngrams (counted dependency-tree fragments) based on a corpus of 3.5 million English books. The dataset includes over 10 billion distinct items covering a wide range …...

In this position paper, I discuss some linguistic problems that computational work on lexical semantics has attempted to address in the past and the implications for alternative models which in- …...

Our internal repository of words, often known as the mental lexicon, has primarily been modelled by psychologists as some kind of network. One way to probe its organisation and access …...

AbstractWhile natural language processing performance has been improved through the recognition that there is a relationship between the semantics of the verb and the syntactic context in which the verb …...

We propose a robust answer reranking model for non-factoid questions that inte- grates lexical semantics with discourse in- formation, driven by two representations of discourse: a shallow representation cen- tered …...

We describe the systems entered by the National Research Council Canada in the SemEval-2016 Task1: Crosslingual Semantic Textual Similarity. We tried two approaches: One computes a true crosslingual similarity based …...

AbstractMost conventional sentence similarity methods only focus on similar parts of two input sentences, and simply ignore the dissimilar parts, which usually give us some clues and semantic meanings about …...

AbstractRecent years have witnessed a surge of publications aimed at tracing temporal changes in lexical semantics using distributional methods, particularly prediction-based word embedding models. However, this vein of research lacks …...

We adapt an approach to annotating the semantics of adpositions to also include English possessives, showing that the supersense inventory of Schneider et al. (2017) works for the genitive ’s …...

Earlier approaches indirectly studied the information captured by the hidden states of recurrent and non-recurrent neural ma- chine translation models by feeding them into different classifiers. In this paper, we …...

AbstractLexical semantics theories differ in advocating that the meaning of words is represented as an inference graph, a feature mapping or a cooccurrence vector, thus raising the question: is it …...

This research explores the intense con- flict of the legalization of same-sex mar- riage in Taiwan by studying how the near-synonyms denoting homosexual, 同 志 tóngzhì and 同性戀 tóngxìngliàn, are …...

AbstractDespite the recent success of deep neural networks in natural language processing and other spheres of artificial intelligence, their interpretability remains a challenge. We analyze the representations learned by neural …...

AbstractIn this paper we describe and evaluate syntactic and semantic aspects of Arbobanko, a treebank for the artificial language Esperanto, as well as tools and methods used in the production …...

AbstractOne of the most powerful features of contextualized models is their dynamic embeddings for words in context, leading to state-of-the-art representations for context-aware lexical semantics. In this paper, we present …...

AbstractCapturing word meaning in context and distinguishing between correspondences and variations across languages is key to building successful multilingual and cross-lingual text representation models. However, existing multilingual evaluation datasets that …...

AbstractWhen a neural language model (LM) is adapted to perform a new task, what aspects of the task predict the eventual performance of the model? In NLP, systematic features of …...

AbstractLarge neural language models (LLMs) can be powerful tools for research in lexical semantics. We illustrate this potential using the English verb “break”, which has numerous senses and appears in …...