In written Chinese, personal pronouns are commonly dropped when they can be inferred from context. This practice is particularly common in informal genres like Short Message Service (SMS) messages sent via cell phones. Restoring dropped personal pronouns can be a useful preprocessing step for information extraction. Dropped personal pronoun recovery can be divided into two subtasks: (1) detecti...

We present PROTEST, a test suite for the evaluation of pronoun translation by MT systems. The test suite comprises 250 hand-selected pronoun tokens and an automatic evaluation method which compares the translations of pronouns in MT output with those in the reference translation. Pronoun translations that do not match the reference are referred for manual evaluation. PROTEST is designed to supp...

In this paper, we present PYCOT, a pronoun resolution toolkit. This toolkit is written in the Python programming language and is intended to be an addition to the open-source NLTK collection of natural language processing tools. We discuss the design of the module as well as studies of its performance on pronoun resolution in English and in Korean.

Within the categorical compositional distributional model of meaning, we provide semantic interpretations for the subject and object roles of the possessive relative pronoun 'whose'. This is done in terms of Frobenius algebras over compact closed categories. These algebras and their diagrammatic language expose how meanings of words in relative clauses interact with each other. We show how our ...

In this paper, we investigate the structure and interpretation of English nonrestrictive relative clauses, also often called appositive relatives and sometimes supplemental relatives. We propose that in non-restrictive relatives, relative pronouns are interpreted in situ within the pied-piped constituent at LF, using RoothHamblin alternative computation (Hamblin, 1973; Rooth, 1985, 1992, a.o.)....

We apply a decision tree based approach to pronoun resolution in spoken dialogue. Our system deals with pronouns with NPand non-NP-antecedents. We present a set of features designed for pronoun resolution in spoken dialogue and determine the most promising features. We evaluate the system on twenty Switchboard dialogues and show that it compares well to Byron’s (2002) manually tuned system.

Pronoun resolution is an uncertain process in machine oriented natural language processing. There are many techniques to determine the referent of the pronoun. This paper addresses the resolution of two pronouns. "they" and "them". and looks at simplistic rules to improve the process of determining the referent, beyond simply deciding tm the basis of most recent plural noun.