Can distributional approaches improve on Good Old-Fashioned Lexical Semantics?

نویسنده

  • Ann Copestake
چکیده

In this position paper, I discuss some linguistic problems that computational work on lexical semantics has attempted to address in the past and the implications for alternative models which incorporate distributional information. I concentrate in particular on phenomena involving count/mass distinctions, where older approaches attempted to use lexical semantics in their models of syntax. I outline methods by which the earlier models allowed the transmission of information between lexical items (regular polysemy and inheritance) and address the possibility that similar techniques could usefully be incorporated into distributional models.

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

Derivational Smoothing for Syntactic Distributional Semantics

Syntax-based vector spaces are used widely in lexical semantics and are more versatile than word-based spaces (Baroni and Lenci, 2010). However, they are also sparse, with resulting reliability and coverage problems. We address this problem by derivational smoothing, which uses knowledge about derivationally related words (oldish→ old) to improve semantic similarity estimates. We develop a set ...

متن کامل

Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems

This paper explores to what extent lemmatisation, lexical resources, distributional semantics and paraphrases can increase the accuracy of supervised models for dialogue management. The results suggest that each of these factors can help improve performance but that the impact will vary depending on their combination and on the evaluation mode.

متن کامل

A Hybrid Distributional and Knowledge-based Model of Lexical Semantics

A range of approaches to the representation of lexical semantics have been explored within Computational Linguistics. Two of the most popular are distributional and knowledgebased models. This paper proposes hybrid models of lexical semantics that combine the advantages of these two approaches. Our models provide robust representations of synonymous words derived from WordNet. We also make use ...

متن کامل

Modeling the Non-Substitutability of Multiword Expressions with Distributional Semantics and a Log-Linear Model

Non-substitutability is a property of Multiword Expressions (MWEs) that often causes lexical rigidity and is relevant for most types of MWEs. Efficient identification of this property can result in the efficient identification of MWEs. In this work we propose using distributional semantics, in the form of word embeddings, to identify candidate substitutions for a candidate MWE and model its sub...

متن کامل

Distributional semantic models for detection of textual entailment

We present our experiments on integrating and evaluating distributional semantics with the recognising textual entailment task (RTE). We consider entailment as semantic similarity between text and hypothesis coupled with additional heuristic, which can be either selecting the top scoring hypothesis or a pre-defined threshold. We show that a distributional model is particularly good at detecting...

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 2013