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Found 10 papers, 2 papers with code
Grounding NBA Matchup Summaries
The present paper summarizes an attempt we made to meet a shared task challenge on grounding machine-generated summaries of NBA matchups (https://github. com/ehudreiter/accuracySharedTask. git).
The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting
In this work, we focus on sentence splitting, a subfield of text simplification, motivated largely by an unproven idea that if you divide a sentence in pieces, it should become easier to understand.
Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022
The CASE 2022 extension consists of expanding the test data with more data in previously available languages, namely, English, Hindi, Portuguese, and Spanish, and adding new test data in Mandarin, Turkish, and Urdu for Sub-task 1, document classification.
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News
Leveraging each of these external datasets for training, we achieved up to approximately 64% F1 on the CNC test set without additional fine-tuning.
Learning to Simplify with Data Hopelessly Out of Alignment
We consider whether it is possible to do text simplification without relying on a "parallel" corpus, one that is made up of sentence-by-sentence alignments of complex and ground truth simple sentences.
Meeting the 2020 Duolingo Challenge on a Shoestring
Both are neural models that aim at disrupting a sentence representation the encoder generates with an eye on increasing the diversity of sentences that emerge out of the process.
Generating Paraphrases with Lean Vocabulary
In this work, we examine whether it is possible to achieve the state of the art performance in paraphrase generation with reduced vocabulary.
