Discourse connectives are words or phrases such as once, since, and on the contrary that explicitly signal the presence of a discourse relation. There are two types of ambiguity that need to be resolved during discourse processing. First, a word can be ambiguous between discourse or non-discourse usage. For example, once can be either a temporal discourse connective or a simply a word meaning “formerly”. Secondly, some connectives are ambiguous in terms of the relation they mark. For example since can serve as either a temporal or causal connective. We demonstrate that syntactic features improve performance in both disambiguation tasks. We report state-of-the-art results for identifying discourse vs. non-discourse usage and human-level perf...
The disambiguation and processing of coherence relations is often investigated with a focus on expli...
Abstract: in this paper we experimentally address the issue of the constraints governing the use of ...
The capabilities and use cases of automatic natural language processing (NLP) have grown significant...
Discourse connectives are words or phrases such as once, since, and on the contrary that explicitly ...
While explicit discourse connectives can signal coherence relations, a common assumption is that onl...
Starting from the perspective that discourse structure arises from the presence of coherence relatio...
Starting from the perspective that discourse structure arises from the presence of coherence relatio...
Discourse connectives are lexical items indicating coherence relations between discourse segments. E...
Discourse coherence refers to a set of relations that connect textual units to each other in order t...
Coherent texts, whether written or spoken, are built upon discourse relations linking utterances tog...
With respect to discourse organization, the most basic way of signaling the speaker’s or wri...
To fully understand a discourse, it is essential not only to know the meaning of each individual cla...
We present a corpus study of local discourse relations based on the Penn Discourse Tree Bank, a larg...
We present a classification model that predicts the presence or omission of a lexical connec-tive be...
Temporal–contrastive discourse connectives (although, while, since, etc.) signal various types of re...
The disambiguation and processing of coherence relations is often investigated with a focus on expli...
Abstract: in this paper we experimentally address the issue of the constraints governing the use of ...
The capabilities and use cases of automatic natural language processing (NLP) have grown significant...
Discourse connectives are words or phrases such as once, since, and on the contrary that explicitly ...
While explicit discourse connectives can signal coherence relations, a common assumption is that onl...
Starting from the perspective that discourse structure arises from the presence of coherence relatio...
Starting from the perspective that discourse structure arises from the presence of coherence relatio...
Discourse connectives are lexical items indicating coherence relations between discourse segments. E...
Discourse coherence refers to a set of relations that connect textual units to each other in order t...
Coherent texts, whether written or spoken, are built upon discourse relations linking utterances tog...
With respect to discourse organization, the most basic way of signaling the speaker’s or wri...
To fully understand a discourse, it is essential not only to know the meaning of each individual cla...
We present a corpus study of local discourse relations based on the Penn Discourse Tree Bank, a larg...
We present a classification model that predicts the presence or omission of a lexical connec-tive be...
Temporal–contrastive discourse connectives (although, while, since, etc.) signal various types of re...
The disambiguation and processing of coherence relations is often investigated with a focus on expli...
Abstract: in this paper we experimentally address the issue of the constraints governing the use of ...
The capabilities and use cases of automatic natural language processing (NLP) have grown significant...