Семантика

This paper surveys some issues that arise in the study of the syntax and semantics of natural languages (NL's) and have potential relevance to the automatic recognition, parsing, and translation …...

This work concerns integration between syntax and semantics. Syntactic and semantic activities rely on separate bodies of knowledges. Integration is obtained by exploiting the isomorphism between grammatical relations (among immediate …...

A semantics of linguistic categories like tense, aspect, and cer- tain temporal adverbials, and a theory of their use in defining the temporal relations of events, both require a more …...

This paper describes an analysis of telegraphic fragments as regular structures (not errors) han- dled by rn~n~nal extensions to a system designed for processing the standard language. The modu- lar …...

ion is required to construct the appropriate flmctor expressions in semantics. By contrast, the...

Command relations are important tools in linguistics, especially in anaphora theory. In this paper I present an indexing technique which allows us to implement a simple and efficient check for …...

Attention on constraint-based grammar formalisms such as Head-driven Phrase Structure Grammar (HPS6) has focussed on syntax and semantics to the exclu- sion of phonology. This paper investigates the in- corporation …...

The interpretation of coercion construc- tions (to begin a book) has been recently considered as resulting from the operation of type changing. For instance, a phrase of type o (object) …...

AbstractTyped feature formalisms (TFF) play an increasingly important role in NLP and, in particular, in MT. Many of these systems are inspired by Pollard and Sag’s work on Head-Driven Phrase …...

The natural language system DISC() is described. It combines a powerful and flexible grammar development system; • linguistic competence for German including morphol- ogy, syntax and semantics; • new metlmds …...

We describe a computational framework for a grammar architecture in which dif- ferent linguistic domains such as morphol- ogy, syntax, and semantics are treated not as separate components but compositional …...

We argue that the resource shar- ing that is commonly manifest in semantic accounts of coordination is instead appropriately handled in terms of structure-sharing in LFG f-structures. We provide an …...

This paper addresses multiple proportional readings in donkey sentences and deals with a question of why the disambiguation of proportional readings is affected by the topic structure of a sentence. …...

The acquisition of the semantics of natural language spatial terms is considered within the cognitive framework introduced by (Lan- gncker, 1987), and the computational frame- work of the Berkeley L0 …...

We show that discourse structure need not bear the full burden of conveying discourse relations by showing that many of them can be explained non- structurally in terms of the …...

Recognizing Mandarin ba sentences as the Ba Resultative Construction, this study implements a rigid test of Ding's (1993) treatment of ba as a matrix verb in the periphrastic resultative construction. …...

Negative factors and their floating are the semantic marks of objective identification of the meaning of huaiyi and sub-categorization of sentence patterns of the huaiyi sentences. This article discusses negative …...

This system uses a background knowledge base to identify semantic relations between base noun phrases in English text, as eva- luated in SemEval 2007, Task 4. Training data for each …...

To date, parsers have made limited use of se- mantic information, but there is evidence to suggest that semantic features can enhance parse disambiguation. This paper shows that semantic classes …...

The Unit Graphs (UGs) framework is a graph-based knowledge representation (KR) formalism that is designed to al- low for the representation, manipula- tion, query, and reasoning over linguis- tic knowledge …...

We present a novel approach for analysing and classifying lyrics, experimenting both with n- gram models and more sophisticated features that model different dimensions of a song text, such as …...

Learning phonetic categories is one of the first steps to learning a language, yet is hard to do using only distributional phonetic in- formation. Semantics could potentially be useful, since …...

Conventional word sense induction (WSI) methods usually represent each instance with discrete linguistic features or co- occurrence features, and train a model for each polysemous word individually. In this work, …...

Psychological analysis of language has repeat- edly shown that an individual’s rate of men- tioning 1st person singular pronouns predicts a wealth of important demographic and psy- chological factors. However, …...

AbstractTransfer and multi-task learning have traditionally focused on either a single source-target pair or very few, similar tasks. Ideally, the linguistic levels of morphology, syntax and semantics would benefit each …...

AbstractWe present a neural encoder-decoder AMR parser that extends an attention-based model by predicting the alignment between graph nodes and sentence tokens explicitly with a pointer mechanism. Candidate lemmas are …...

AbstractThis paper describes the SimBow system submitted at SemEval2017-Task3, for the question-question similarity subtask B. The proposed approach is a supervised combination of different unsupervised textual similarities. These textual similarities …...

AbstractThe attention mechanism is a successful technique in modern NLP, especially in tasks like machine translation. The recently proposed network architecture of the Transformer is based entirely on attention mechanisms …...

AbstractWe present the SemEval 2019 shared task on Universal Conceptual Cognitive Annotation (UCCA) parsing in English, German and French, and discuss the participating systems and results. UCCA is a cross-linguistically …...

AbstractSEBAMAT (semantics-based MT) is a Marie Curie project intended to con-tribute to the state of the art in machine translation (MT). Current MT systems typically take the semantics of a …...

AbstractAnswer retrieval is to find the most aligned answer from a large set of candidates given a question. Learning vector representations of questions/answers is the key factor. Question-answer alignment and …...

AbstractThis paper describes the system proposed by the Random team for SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection. We focus our approach on the detection problem. Given the semantics …...

AbstractSentence matching aims to identify the special relationship between two sentences, and plays a key role in many natural language processing tasks. However, previous studies mainly focused on exploiting either …...

AbstractNatural Language Processing (NLP) has been widely used in the semantic analysis in recent years. Our paper mainly discusses a methodology to analyze the effect that context has on human …...

AbstractEvaluation metrics are a key ingredient for progress of text generation systems. In recent years, several BERT-based evaluation metrics have been proposed (including BERTScore, MoverScore, BLEURT, etc.) which correlate much …...

AbstractThere is currently a gap between the natural language expression of scholarly publications and their structured semantic content modeling to enable intelligent content search. With the volume of research growing …...

AbstractNamed Entity Recognition (NER), an essential subtask in NLP that identifies text belonging to predefined semantics such as a person, location, organization, drug, time, clinical procedure, biological protein, etc. NER …...

AbstractPre-trained transformer-based language models have achieved state-of-the-art performance in many areas of NLP. It is still an open question whether the models are capable of integrating syntax and semantics in …...