More from: nlp


Paper Study: A Composite Kernel Approach for Dialog Topic Tracking with Structured Domain Knowledge from Wikipedia

Paper http://acl2014.org/acl2014/P14-2/pdf/P14-2004.pdf Note 1 Introduction Current weakness: previous work on dialog interfaces has focused on dealing with only a single target task analyze and maintain dialog topics from a more systematic perspective: 1) a separate sub-problem of dialog management and attempted to solve it with text categorization approaches for the recognized utterances in a given turn. 2) domain models(knowledge-based methods) and their weakness. […]


Paper Study: Citation Resolution: A Method for Evaluating Context-based Citation Recommendation Systems

Paper http://acl2014.org/acl2014/P14-2/pdf/P14-2059.pdf Note 1 Introduction Helpful: if the system is able to take into account the context in which the citation occurs. CBCR: context-based citation recommendation system Objective: suggesting other document with content that is relevant to a particular context in the draft Modest aims in this paper: present initial results using existing IR-based approaches […]


Paper Study: A Machine Learning Approach to Conference Resolution of Noun Phrases

Paper http://anthology.aclweb.org/J/J01/J01-4004.pdf Note 1. Introduction Coreference resolution: the process of determining whether two expressions in natural language refer to the same entity in the world. MUC-6, MUC-7 A coreference relation denotes an identity of reference and holds between two textual elements known as markables, which can be definite noun phrases, demonstrative noun phrases, proper names, […]


Paper Study: Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features

Paper http://acl2014.org/acl2014/P14-1/pdf/P14-1005.pdf Note 1. Introduction 2. Background Previous mention-pair model: each co-reference classification decision is limited to information about two mentions that make up a pair. Using the entity-mention models to overcome shortcoming. Tree representation: tree-based model construes the representation of coreference clusters as a rooted tree. Latent tree: provides more meaningful antecedents for training 3. Representation and […]