COLING • ACL 2006 Linguistic Distances

Chinese Word Segmentation and Named Entity Recognition by Character Tagging

This paper describes our word segmentation system and named entity recognition (NER) system for participating in the third SIGHAN Bakeoff. Both of them are based on character tagging, but use different tag sets and different features. Evaluation results show that our word segmentation system achieved 93.3% and 94.7% F-score in UPUC and MSRA open tests, and our NER system got 70.84% and 81.32% F...

COLING • ACL 2006 21 st International Conference on

Segregatory Coordination and Ellipsis in Text Generation

In this paper, we provide an account of how to generate sentences with coordination constructions from clause-sized semantic representations. An algorithm is developed and various examples from linguistic literature will be used to demonstrate that the algorithm does its job well.

LEILA: Learning to Extract Information by Linguistic Analysis

One of the challenging tasks in the context of the Semantic Web is to automatically extract instances of binary relations from Web documents – for example all pairs of a person and the corresponding birthdate. In this paper, we present LEILA, a system that can extract instances of arbitrary given binary relations from natural language Web documents – without human interaction. Different from pr...

Ontology Population from Textual Mentions: Task Definition and Benchmark

In this paper we propose and investigate Ontology Population from Textual Mentions (OPTM), a sub-task of Ontology Population from text where we assume that mentions for several kinds of entities (e.g. PERSON, O R G A N I Z A T I O N , LO C A T I O N , GEOPOLITICAL_ ENTITY) are already extracted from a document collection. On the one hand, OPTM simplifies the general Ontology Population task, li...