This paper describes the first Sentence End and Punctuation Prediction in Natural Language Generation (SEPP-NLG) shared task1 held at the SwissText conference 2021. The goal of the shared task was to develop solutions for the identification of sentence boundaries and the insertion of punctuation marks into texts produced by NLG systems. The data and submissions, and the codebase for the shared tasks are publicly available
Thesis (Master's)--University of Washington, 2022Clarity and precision of written text benefits from...
This paper proposes a flexible approach for punctuation prediction that can be used to produce state...
This paper presents experiments on sentence boundary detection in transcripts of spoken dialogues. S...
This paper describes our approach (UR- mSBD) to address the shared task on Sentence End and Punctu...
Punctuation prediction is an important task in Spoken Lan-guage Translation. The output of speech re...
Natural language processing techniques are dependent upon punctuation to work well. When their input...
The sentence is a standard textual unit in natural language processing applications. In many languag...
We test a series of techniques to predict punctuation and its effect on machine translation (MT) qua...
In written language, punctuation is used to separate main and subordinate clause. In spoken language...
In this work we aim at enriching the transcript of an automatic speech recognition system with punct...
This thesis deals with the problem of punctuation reconstruction in the output of automatic speech r...
In written language, punctuation is used to separate main and subordinate clause. In spoken language...
Punctuation helps us to structure, and thus to understand, texts. Many uses of punctuation straddle ...
Automatic division of spoken language transcripts into sentence-like units is a challenging problem,...
Conventional automatic speech recognition systems do not produce punctuation marks which are importa...
Thesis (Master's)--University of Washington, 2022Clarity and precision of written text benefits from...
This paper proposes a flexible approach for punctuation prediction that can be used to produce state...
This paper presents experiments on sentence boundary detection in transcripts of spoken dialogues. S...
This paper describes our approach (UR- mSBD) to address the shared task on Sentence End and Punctu...
Punctuation prediction is an important task in Spoken Lan-guage Translation. The output of speech re...
Natural language processing techniques are dependent upon punctuation to work well. When their input...
The sentence is a standard textual unit in natural language processing applications. In many languag...
We test a series of techniques to predict punctuation and its effect on machine translation (MT) qua...
In written language, punctuation is used to separate main and subordinate clause. In spoken language...
In this work we aim at enriching the transcript of an automatic speech recognition system with punct...
This thesis deals with the problem of punctuation reconstruction in the output of automatic speech r...
In written language, punctuation is used to separate main and subordinate clause. In spoken language...
Punctuation helps us to structure, and thus to understand, texts. Many uses of punctuation straddle ...
Automatic division of spoken language transcripts into sentence-like units is a challenging problem,...
Conventional automatic speech recognition systems do not produce punctuation marks which are importa...
Thesis (Master's)--University of Washington, 2022Clarity and precision of written text benefits from...
This paper proposes a flexible approach for punctuation prediction that can be used to produce state...
This paper presents experiments on sentence boundary detection in transcripts of spoken dialogues. S...