Синтаксистік ақпарат
Related Papers
Features and Values
The paper discusses the linguistic aspects of a new gen- eral purpose facility for computing with features. The pro- gram was developed in connection with the course I taught at …...
Two-Component Teaching System That Understands and Corrects Mistakes
This paper presents a computer-tool tea- ching system supplied by a language proce- ssor. Its aim is to correct mistakes in texts written by foreign students learning Russian as a …...
LINGSTAT: An Interactive, Machine-Aided Translation System
In this paper we present the first implementation of LING- STAT, an interactive machine translation system designed to increase the productivity of a user, with little knowledge of the source …...
Rule-based Acquisition and Maintenance of Lexical and Semantic Knowledge
The lexicons for Knowledge-Based Machine Translation systems require knowledge in- tensive morphological, syntactic and se- mantic information. This information is of- ten used in different ways and usually for- matted …...
Anaphor Resolution In Unrestricted Texts With Partial Parsing
In this paper we deal with several kinds of anaphora in unrestricted texts. These kinds of anaphora are pronominal references, surface- count anaphora and one-anaphora. In order to solve these …...
Anaphora Resolution as Lexical Cohesion Identification
Anaphora,. an important indicator in lexical cohesion, is a discourse level linguistic phenomenon. Most theoretical linguistic approaches to the interpretation of anaphoric expressions propose a treatment on the basis of …...
Towards semantic-based overlap measures for question-answering
In this paper we present an evalua- tion of overlap-based measures of sim- ilarity for sentences in the same lan- guage. The measures include syntactic and semantic information, and to …...
Detecting Multiword Verbs in the English Sublanguage of MEDLINE Abstracts
s Chun Xiao and Dietmar R¨osner Institut f¨ur Wissens- und Sprachverarbeitung Otto-von-Guericke Universit¨at Magdeburg Universit¨atsplatz 2, Magdeburg, Germany 39106 xiao|roesner@iws.cs.uni-magdeburg.de Abstract In this paper, we investigate the multiword verbs in …...
Clause Restructuring for Statistical Machine Translation
We describe a method for incorporating syntactic informa- tion in statistical machine translation systems. The first step of the method is to parse the source language string that is be- …...
“Could you make me a favour and do coffee, please?”: Implications for Automatic Error Correction in English and Dutch
The correct choice of words has proven chal- lenging for learners of a second language and errors of this kind form a separate category in error typology. This paper focuses …...
A Comparison of Selectional Preference Models for Automatic Verb Classification
We present a comparison of different selec- tional preference models and evaluate them on an automatic verb classification task in German. We find that all the models we compare are …...
Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning
Deep compositional models of meaning acting on distributional representations of words in order to produce vectors of larger text constituents are evolving to a pop- ular area of NLP research. …...
LexFr: Adapting the LexIt Framework to Build a Corpus-based French Subcategorization Lexicon
AbstractThis paper introduces LexFr, a corpus-based French lexical resource built by adapting the framework LexIt, originally developed to describe the combinatorial potential of Italian predicates. As in the original framework, …...
End-to-End Neural Relation Extraction with Global Optimization
AbstractNeural networks have shown promising results for relation extraction. State-of-the-art models cast the task as an end-to-end problem, solved incrementally using a local classifier. Yet previous work using statistical models …...
Effective Attention Modeling for Aspect-Level Sentiment Classification
AbstractAspect-level sentiment classification aims to determine the sentiment polarity of a review sentence towards an opinion target. A sentence could contain multiple sentiment-target pairs; thus the main challenge of this …...
Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model
AbstractIncorporating syntactic information in Neural Machine Translation (NMT) can lead to better reorderings, particularly useful when the language pairs are syntactically highly divergent or when the training bitext is not …...
Structure-Infused Copy Mechanisms for Abstractive Summarization
AbstractSeq2seq learning has produced promising results on summarization. However, in many cases, system summaries still struggle to keep the meaning of the original intact. They may miss out important words …...
Generating Sentences from Disentangled Syntactic and Semantic Spaces
AbstractVariational auto-encoders (VAEs) are widely used in natural language generation due to the regularization of the latent space. However, generating sentences from the continuous latent space does not explicitly model …...
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures
AbstractEvent factuality prediction (EFP) is the task of assessing the degree to which an event mentioned in a sentence has happened. For this task, both syntactic and semantic information are …...
A Syntax-Aware Edit-based System for Text Simplification
AbstractEdit-based text simplification systems have attained much attention in recent years due to their ability to produce simplification solutions that are interpretable, as well as requiring less training examples compared …...
Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks
AbstractSyntactic information, especially dependency trees, has been widely used by existing studies to improve relation extraction with better semantic guidance for analyzing the context information associated with the given entities. …...
Attentional Probe: Estimating a Module’s Functional Potential
In this paper, we seek to measure how much information a component in a neural network could extract from the representations fed into it. Our work stands in contrast to …...
Chinese Couplet Generation with Syntactic Information
AbstractChinese couplet generation aims to generate a pair of clauses (usually generating a subsequent clause given an antecedent one) with certain rules (e.g., morphological and syntactical symmetry) adhered and has …...
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance
AbstractProbing is popular to analyze whether linguistic information can be captured by a well-trained deep neural model, but it is hard to answer how the change of the encoded linguistic …...