UCM-I: A Rule-based Syntactic Approach for Resolving the Scope of Negation
نویسندگان
چکیده
This paper presents one of the two contributions from the Universidad Complutense de Madrid to the *SEM Shared Task 2012 on Resolving the Scope and Focus of Negation. We describe a rule-based system for detecting the presence of negations and delimitating their scope. It was initially intended for processing negation in opinionated texts, and has been adapted to fit the task requirements. It first detects negation cues using a list of explicit negation markers (such as not or nothing), and infers other implicit negations (such as affixal negations, e.g, undeniable or improper) by using semantic information from WordNet concepts and relations. It next uses the information from the syntax tree of the sentence in which the negation arises to get a first approximation to the negation scope, which is later refined using a set of post-processing rules that bound or expand such scope.
منابع مشابه
UCM at TREC 2012: Does Negation Influence The Retrieval of Medical Reports?
This paper details the UCM participation in the TREC 2012 Medical Records Track. We present several experiments directed to evaluate the effect of detecting negation in the task of retrieving medical reports. In particular, two different algorithms based on syntactic analysis have been applied to detect negations and to infer their scope. These algorithms are then combined with a simple term-fr...
متن کاملUCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing
UCM-2 infers the words that are affected by negations by browsing dependency syntactic structures. It first makes use of an algorithm that detects negation cues, like no, not or nothing, and the words affected by them by traversing Minipar dependency structures. Second, the scope of these negation cues is computed by using a post-processing rulebased approach that takes into account the informa...
متن کاملResolving Speculation and Negation Scope in Biomedical Articles with a Syntactic Constituent Ranker
We discuss how the scope of speculation and negation can be resolved by learning a ranking function that operates over syntactic constituent subtrees. An important assumption of this method is that scope aligns with constituents, and hence we investigate instances of disalignment. We also show how the method can be combined with an existing scope-resolution system based on manually-crafted rule...
متن کاملUMichigan: A Conditional Random Field Model for Resolving the Scope of Negation
In this paper, we present a system for detecting negation in English text. We address three tasks: negation cue detection, negation scope resolution and negated event identification. We pose these tasks as sequence labeling problems. For each task, we train a Conditional Random Field (CRF) model on lexical, structural, and syntactic features extracted from labeled data. The models are trained a...
متن کاملUiO1: Constituent-Based Discriminative Ranking for Negation Resolution
This paper describes the first of two systems submitted from the University of Oslo (UiO) to the 2012 *SEM Shared Task on resolving negation. Our submission is an adaption of the negation system of Velldal et al. (2012), which combines SVM cue classification with SVM-based ranking of syntactic constituents for scope resolution. The approach further extends our prior work in that we also identif...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012