Контекстуальная информация

A natural language understanding system is described which extracts contextual information from Japanese texts. It integrates syntactic, semantic and contextual processing serially. The syntactic analyzer obtains rough syntactic structures from …...

Given a noisy text page, a word recognizer can generate a set of candidates for each word image. A relaxation algorithm was proposed previously by the authors that uses word …...

Experiments are presented which measure the perplexity reduction derived from incor- porating into the predictive model utilised in a standard tag-n-gram part-of-speech tagger, contextual information from previous sentences of a …...

It is popular in WSD to use contextual information in training sense tagged data. Co-occurring words within a limited window-sized context support one sense among the semantically ambiguous ones of …...

. Syllable-to-word (STW) conversion is a frequently used Chinese input method that is fundamental to syllable/speech understanding. The two major problems with STW conversion are the segmentation of syllable input …...

This paper describes how to perform syntactic parsing and semantic analysis using the contextual information as a language understanding component in a dialog system. Although syntactic parsing and semantic analysis …...

We propose a method that incorporates paraphrase information from the Web to boost the performance of a supervised re- lation extraction system. Contextual infor- mation is extracted from the Web …...

AbstractIdentifying the real world entity that a proper name refers to is an important task in many NLP applications. Context plays an important role in disambiguating entities with the same …...

We investigate how to improve bilingual embedding which has been successfully used as a feature in phrase-based sta- tistical machine translation (SMT). De- spite bilingual embedding’s success, the contextual information, …...

Using distributional analysis methods to compute semantic proximity links be- tween words has become commonplace in NLP. The resulting relations are often noisy or difficult to interpret in general. This …...

We propose CORE, a novel matrix fac- torization model that leverages contextual information for open relation extraction. Our model is based on factorization ma- chines and integrates facts from various …...

If speakers use language rationally, they should structure their messages to achieve approximately uniform information density (UID), in order to optimize transmission via a noisy channel. Previous work identified a …...

AbstractIn the context of investigative journalism, we address the problem of automatically identifying which claims in a given document are most worthy and should be prioritized for fact-checking. Despite its …...

AbstractThe literature in automated sarcasm detection has mainly focused on lexical-, syntactic- and semantic-level analysis of text. However, a sarcastic sentence can be expressed with contextual presumptions, background and commonsense …...

AbstractArgument mining systems often consider contextual information, i.e. information outside of an argumentative discourse unit, when trained to accomplish tasks such as argument component identification, classification, and relation extraction. However, …...

AbstractRelation extraction (RE) has been extensively studied due to its importance in real-world applications such as knowledge base construction and question answering. Most of the existing works train the models …...

AbstractWe explore end-to-end trained differentiable models that integrate natural logic with neural networks, aiming to keep the backbone of natural language reasoning based on the natural logic formalism while introducing …...

AbstractWe perform a corpus analysis to develop a representation of the knowledge and reasoning used to interpret indirect speech acts. An indirect speech act (ISA) is an utterance whose intended …...

AbstractIn this paper, we provide a dataset that gives visual grounding annotations to recipe flow graphs. A recipe flow graph is a representation of the cooking workflow, which is designed …...

AbstractWe present a memory-based model for context- dependent semantic parsing. Previous approaches focus on enabling the decoder to copy or modify the parse from the previous utterance, assuming there is …...

AbstractAnswer Sentence Selection (AS2) is an efficient approach for the design of open-domain Question Answering (QA) systems. In order to achieve low latency, traditional AS2 models score question-answer pairs individually, …...

AbstractDialogue Act tagging with the ISO 24617-2 standard is a difficult task that involves multi-label text classification across a diverse set of labels covering semantic, syntactic and pragmatic aspects of …...

AbstractThe distribution of fake news is not a new but a rapidly growing problem. The shift to news consumption via social media has been one of the drivers for the …...

AbstractWe investigate what kind of structural knowledge learned in neural network encoders is transferable to processing natural language. We design artificial languages with structural properties that mimic natural language, pretrain …...

AbstractStance detection deals with identifying an author’s stance towards a target. Most existing stance detection models are limited because they do not consider relevant contextual information which allows for inferring …...

AbstractOptimizing the phrasing of argumentative text is crucial in higher education and professional development. However, assessing whether and how the different claims in a text should be revised is a …...