Семантикалық рөлдер

Anaphoric reference is an important linguistic phe- nomenon to understand the discourse structure and content. In Chinese natural language processing, there are both the problems of choosing and resolv- ing …...

In this paper, we propose an Inductive Logic Programming learning method which aims at automatically extracting special Noun-Verb (N- V) pairs from a corpus in order to build up semantic …...

We describe the ongoing construction of a large, semantically annotated corpus resource as reliable basis for the large- scale acquisition of word-semantic infor- mation, e.g. the construction of domain- independent …...

We use deep linguistic features to predict semantic roles on syntactic arguments, and show that these perform considerably better than surface-oriented features. We also show that predicting labels from a …...

We present a novel automatic approach to constructing a bilingual semantic network—the BiFrameNet, to enhance statistical and transfer-based machine translation systems. BiFrameNet is a frame semantic representation, and contains semantic …...

In this paper we address the question of assigning semantic roles to sentences in Chinese. We show that good semantic parsing results for Chinese can be achieved with a small …...

We present an unsupervised method for labelling the arguments of verbs with their semantic roles. Our bootstrapping algorithm makes initial unam- biguous role assignments, and then iteratively up- dates the …...

We describe an automatic Word Sense Disambiguation (WSD) system that dis- ambiguates verb senses using syntactic and semantic features that encode infor- mation about predicate arguments and se- mantic classes. …...

This article describes a robust seman- tic parser that uses a broad knowledge base created by interconnecting three ma- jor resources: FrameNet, VerbNet and PropBank. The FrameNet corpus con- tains …...

In this paper we present a semantic role la- beling system submitted to the task Multi- level Semantic Annotation of Catalan and Spanish in the context of SemEval–2007. The core …...

A fundamental task in sentence compre- hension is to assign semantic roles to sen- tence constituents. The structure-mapping account proposes that children start with a shallow structural analysis of sentences: …...

AbstractIn this paper we present the Cast3LB-CoNLL-SemRol corpus, currently the only corpus of Spanish annotated with dependency syntax and semantic roles, and the tools that have been trained on the …...

We present a series of empirical studies aimed at illuminating more precisely the likely contribution of semantic roles in im- proving statistical machine translation ac- curacy. The experiments reported study …...

Nowadays, the temporal aspects of natural lan- guage are receiving a great research interest. TimeML has been adopted as a standard for tem- poral information annotation by a large number …...

AbstractThis paper describes a new language resource of events and semantic roles that characterize real-world situations. Narrative schemas contain sets of related events (edit and publish), a temporal ordering of …...

AbstractThis paper gives guidelines of how to annotate Propbank instances using a dedicated editor, Jubilee. Propbank is a corpus in which the arguments of each verb predicate are annotated with …...

This paper analyzes the contribution of se- mantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety of morphosyntactic features …...

Datasets annotated with semantic roles are an important prerequisite to developing high- performance role labeling systems. Unfortu- nately, the reliance on manual annotations, which are both difficult and highly expen- …...

AbstractThis work presents a method of linking verbs and their valency frames in VerbaLex database developed at the Centre for NLP at the Faculty of Informatics Masaryk University to the …...

AbstractThis work studies conceptual structures based on the Formal Concept Analysis method. We build these structures based on lexico-semantic information extracted from texts, among which we highlight the semantic roles. …...

AbstractThis article presents the methodology and results of the analysis of terms referring to processes expressed by verbs or nouns in a corpus of specialized texts dealing with ceramics. Both …...

AbstractIn the last decades, a wide range of automatic metrics that use linguistic knowledge has been developed. Some of them are based on lexical information, such as METEOR; others rely …...

AbstractParaphrases and paraphrasing algorithms have been found of great importance in various natural language processing tasks. While most paraphrase extraction approaches extract equivalent sentences, sentences are an inconvenient unit for …...

AbstractIn this article we present the first experiences of reusing the Swedish FrameNet (SweFN) as a resource for training semantic roles. We give an account of the procedure we used …...

The aim of this paper is to discuss difficul- ties involved in adopting an existing sys- tem of semantic roles in a grammar engi- neering task. Two typical repertoires of …...

This paper describes the system developed by our team (HLTC-HKUST) for task 1 of Se- mEval 2015 workshop about paraphrase clas- sification and semantic similarity in Twitter. We trained a …...

We present an approach for opinion role induction for verbal predicates. Our model rests on the assumption that opinion verbs can be divided into three different types where each type …...

This paper presents a methodology to extract positive interpretations from negated state- ments. First, we automatically generate plau- sible interpretations using well-known gram- mar rules and manipulating semantic roles. Second, …...

AbstractWe present a statistical system for identifying the semantic relationships or semantic roles for two major Indian Languages, Hindi and Urdu. Given an input sentence and a predicate/verb, the system …...

AbstractWe present a system which parses sentences into Abstract Meaning Representations, improving state-of-the-art results for this task by more than 5%. AMR graphs represent semantic content using linguistic properties such …...

Meaning Representation of Constructions: The More We Include, the Better the Representation Claire Bonial,1 Bianca Badarau,2 Kira Griffitt,3 Ulf Hermjakob,4 Kevin Knight,4 Tim O’Gorman,5 Martha Palmer,5 Nathan Schneider6 1U.S. Army …...

AbstractPre-trained text encoders have rapidly advanced the state of the art on many NLP tasks. We focus on one such model, BERT, and aim to quantify where linguistic information is …...

AbstractTask-oriented dialog systems increasingly rely on deep learning-based slot filling models, usually needing extensive labeled training data for target domains. Often, however, little to no target domain training data may …...

AbstractDeep pre-trained contextualized encoders like BERT demonstrate remarkable performance on a range of downstream tasks. A recent line of research in probing investigates the linguistic knowledge implicitly learned by these …...

AbstractWe present a new resource for German causal language, with annotations in context for verbs, nouns and prepositions. Our dataset includes 4,390 annotated instances for more than 150 different triggers. …...

AbstractSemantic Role Labeling (SRL) aims at recognizing the predicate-argument structure of a sentence and can be decomposed into two subtasks: predicate disambiguation and argument labeling. Prior work deals with these …...