Syntactic Structure

Once a_.nn ~ is introduced into a discourse, the form of subsequent references to it are strongly governed by convention. This paper discusses how those conventions can be represented for …...

The work presented here is a preliminary sn~y concerning the automatic translation of French natural language statements into the RESEDA seman- tic metalanguage. The text in natural language is first …...

1 This paper will explore and discuss the less obvious ways syntactic structure is used to convey information and how this information could be used by a natural language database …...

We describe the modification of a grammar to take advantage of prosodic information provided by a speech recognition system. This initial study is lim- ited to the use of relative …...

Though most translation systems have some mechanism for translating certain types of divergent predicate-argument structures, they do not provide a genera] procedure that takes advantage of the relationship between lexical-semantic …...

This paper represents initial work on corpus methods for ac- quiring lexical/semantic pattern lexicons for text understand- ing. Recently, implementors of information extraction (IE) systems have moved away from using …...

AbstractIn this article, I will discuss different types of lexical co-occurrences and examine the requirements for representing them in a reusable lexical resource. I will focus the discussion on the …...

The authors propose a model for analyz- ing English sentences including coordinate conjunctions such as "and", "or", "but" and the equivalent words. Syntactic analysis of the English coordinate sentences is …...

This paper describes a method for determining syntactic structure in coordinate con- structions. It is based on the information taken from semantic similarities, selectional restrictions, and some other linguistic cues. …...

AbstractBracketed corpora are a very useful resource for natural language processing, but hard to build efficiently, leading to quantitative insufficiency for practical use. Disparities in morphological information, such as word …...

This paper is concerned with frequency adverbs in Japanese. Many linguists have pointed out that frequency statements and generic sentences have multiple readings when they co-occur with a kind of …...

The annotations of the Penn Discourse Treebank (PDTB) include (1) discourse connectives and their arguments, and (2) attribution of each argument of each con- nective and of the relation it …...

We present an integrated probabilistic model for Japanese syntactic and case structure analysis. Syntactic and case structure are simultaneously analyzed based on wide-coverage case frames that are constructed from a …...

Almost all automatic semantic role label- ing (SRL) systems rely on a preliminary parsing step that derives a syntactic struc- ture from the sentence being analyzed. This makes the choice …...

During face-to-face conversation, people naturally integrate speech, gestures and higher level language interpretations to predict the right time to start talking or to give backchannel feedback. In this paper we …...

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 …...

Native language identification (NLI) is the task of determining the native language of an author writing in a second language. Several pieces of earlier work have found that fea- tures …...

We present a case study on the role of syn- tactic structures towards resolving the Se- mantic Textual Similarity (STS) task. Al- though various approaches have been pro- posed, the …...

AbstractI explore the hypothesis that conventional neural network models (e.g., recurrent neural networks) are incorrectly biased for making linguistically sensible generalizations when learning, and that a better class of models …...

AbstractLearning universal sentence representations which accurately model sentential semantic content is a current goal of natural language processing research. A prominent and successful approach is to train recurrent neural networks …...

This paper describes statistical analyses of missing translations in simultaneous interpretations. Eighty-eight lectures from English-to- Japanese interpretation data from a large-scale bilingual speech corpus were used for the analyses. Word-level …...

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 …...

AbstractGenerating from Abstract Meaning Representation (AMR) is an underspecified problem, as many syntactic decisions are not specified by the semantic graph. To explicitly account for this variation, we break down …...

AbstractIt is commonly believed that knowledge of syntactic structure should improve language modeling. However, effectively and computationally efficiently incorporating syntactic structure into neural language models has been a challenging topic. …...

AbstractLong Short-Term Memory recurrent neural network (LSTM) is widely used and known to capture informative long-term syntactic dependencies. However, how such information are reflected in its internal vectors for natural …...

This paper examines the projection of prosody and syntactic structure in conversation, while trying to find out which side is more powerful when there is a conflict between prosodic expression …...

AbstractPretrained neural models such as BERT, when fine-tuned to perform natural language inference (NLI), often show high accuracy on standard datasets, but display a surprising lack of sensitivity to word …...