This paper describes a rule-based approach to detect direct speech without the help of any quotation markers. As datasets fictional and non-fictional texts were used. Our evaluation shows that the results appear stable throughout different datasets in the fictional domain and are comparable to the results achieved in related work
Abstract:- Verbal communication is the most obvious instrument used to express our thoughts and idea...
Field speech data pose great challenges to statistical modeling because the speech signal is often i...
Nonverbal features of spontaneous speech are important in human dialogue. And transcrip-tion of dial...
A single abstract from the DHd-2019 Book of Abstracts.Sofern eine editorische Arbeit an dieser Publi...
This Master's thesis deals with the automatic identification of direct speech in a corpus of French ...
This paper presents a salience-based technique for the annotation of directly quoted speech from fic...
Direct quotations are used for opinion min-ing and information extraction as they have an easy to ex...
This contribution presents a quantitative approach to speech, thought and writing representation (ST...
This paper presents a supervised method for a novel task, namely, detecting elements of narration in...
This paper presents a hierarchical pattern matching and generalisation technique which is applied to...
We describe a method for identifying the speakers of quoted speech in natural-language textual stori...
This article discusses the detection of discourse markers (DM) in dialog transcriptions, by human an...
This work investigates into methods for words, word phrases and longer segments detection in large s...
Summarization: We investigate algorithms and tools for the semi-automatic authoring of grammars for ...
Some solutions for coping with the problem of recognition of spontaneous speech dialogues are presen...
Abstract:- Verbal communication is the most obvious instrument used to express our thoughts and idea...
Field speech data pose great challenges to statistical modeling because the speech signal is often i...
Nonverbal features of spontaneous speech are important in human dialogue. And transcrip-tion of dial...
A single abstract from the DHd-2019 Book of Abstracts.Sofern eine editorische Arbeit an dieser Publi...
This Master's thesis deals with the automatic identification of direct speech in a corpus of French ...
This paper presents a salience-based technique for the annotation of directly quoted speech from fic...
Direct quotations are used for opinion min-ing and information extraction as they have an easy to ex...
This contribution presents a quantitative approach to speech, thought and writing representation (ST...
This paper presents a supervised method for a novel task, namely, detecting elements of narration in...
This paper presents a hierarchical pattern matching and generalisation technique which is applied to...
We describe a method for identifying the speakers of quoted speech in natural-language textual stori...
This article discusses the detection of discourse markers (DM) in dialog transcriptions, by human an...
This work investigates into methods for words, word phrases and longer segments detection in large s...
Summarization: We investigate algorithms and tools for the semi-automatic authoring of grammars for ...
Some solutions for coping with the problem of recognition of spontaneous speech dialogues are presen...
Abstract:- Verbal communication is the most obvious instrument used to express our thoughts and idea...
Field speech data pose great challenges to statistical modeling because the speech signal is often i...
Nonverbal features of spontaneous speech are important in human dialogue. And transcrip-tion of dial...