Kernel Based Discourse Relation Recognition with Temporal Ordering Information

نویسندگان

  • Wenting Wang
  • Jian Su
  • Chew Lim Tan
چکیده

Syntactic knowledge is important for discourse relation recognition. Yet only heuristically selected flat paths and 2-level production rules have been used to incorporate such information so far. In this paper we propose using tree kernel based approach to automatically mine the syntactic information from the parse trees for discourse analysis, applying kernel function to the tree structures directly. These structural syntactic features, together with other normal flat features are incorporated into our composite kernel to capture diverse knowledge for simultaneous discourse identification and classification for both explicit and implicit relations. The experiment shows tree kernel approach is able to give statistical significant improvements over flat syntactic path feature. We also illustrate that tree kernel approach covers more structure information than the production rules, which allows tree kernel to further incorporate information from a higher dimension space for possible better discrimination. Besides, we further propose to leverage on temporal ordering information to constrain the interpretation of discourse relation, which also demonstrate statistical significant improvements for discourse relation recognition on PDTB 2.0 for both explicit and implicit as well.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Recognizing Implicit Discourse Relations through Abductive Reasoning with Large-scale Lexical Knowledge

Discourse relation recognition is the task of identifying the semantic relationships between textual units. Conventional approaches to discourse relation recognition exploit surface information and syntactic information as machine learning features. However, the performance of these models is severely limited for implicit discourse relation recognition. In this paper, we propose an abductive th...

متن کامل

A Corpus-based Study of Temporal Signals

Automatic temporal ordering of events described in discourse has been of great interest in recent years. Event orderings are conveyed in text via various linguistic mechanisms including the use of expressions such as “before”, “after” or “during” that explicitly assert a temporal relation – temporal signals. In this paper, we investigate the role of temporal signals in temporal relation extract...

متن کامل

BCCWJ-TimeBank: Temporal and Event Information Annotation on Japanese Text

Temporal information extraction can be divided into the following tasks: temporal expression extraction, time normalisation, and temporal ordering relation resolution. The first task is a subtask of a named entity and numeral expression extraction. The second task is often performed by rewriting systems. The third task consists of event anchoring. This paper proposes a Japanese temporal orderin...

متن کامل

Organização e narração de histórias por escolares em desenvolvimento típico de linguagem*** Story organization and narrative by school-age children with typical language development

Background: the narrative abilities provide valuable information about the linguistic, cognitive and social development of school-age children with typical language development (TLD). Aim: to examine the temporal ordering of figures and the narrative abilities of school-age children with TLD in relation to the type of discourse presented. Method: participants of this study included 60 children ...

متن کامل

Story organization and narrative by school-age children with typical language development.

BACKGROUND The narrative abilities provide valuable information about the linguistic, cognitive and social development of school-age children with typical language development (TLD). AIM To examine the temporal ordering of figures and the narrative abilities of school-age children with TLD in relation to the type of discourse presented. METHOD Participants of this study included 60 children...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010