# Conversation-Entailment

Official dataset for [Towards Conversation Entailment: An Empirical Investigation](https://sled.eecs.umich.edu/publication/dblp-confemnlp-zhang-c-10/). *Chen Zhang, Joyce Chai*. EMNLP, 2010

![Towards Conversation Entailment](https://sled.eecs.umich.edu/media/datasets/conv-entail.png)

## Overview

Textual entailment has mainly focused on inference from written text in monologue. Recent years also observed an increasing amount of conversational data such as conversation scripts of meetings, call center records, court proceedings, as well as online chatting. Although conversation is a form of language, it is different from monologue text with several unique characteristics. The key distinctive features include turn-taking between participants, grounding between participants, different linguistic phenomena of utterances, and conversation implicatures. Traditional approaches dealing with textual entailment were not designed to handle these unique conversation behaviors and thus to support automated entailment from conversation scripts. This project intends to address this limitation.

### Download
```python
from datasets import load_dataset

dataset = load_dataset("sled-umich/Conversation-Entailment")
```
* [HuggingFace-Dataset](https://huggingface.co/datasets/sled-umich/Conversation-Entailment)
* [DropBox](https://www.dropbox.com/s/z5vchgzvzxv75es/conversation_entailment.tar?dl=0)

### Data Sample
```json
{
    "id": 3,
    "type": "fact",
    "dialog_num_list": [
        30,
        31
    ],
    "dialog_speaker_list": [
        "B",
        "A"
    ],
    "dialog_text_list": [
        "Have you seen SLEEPING WITH THE ENEMY?",
        "No.  I've heard, I've heard that's really great, though."
    ],
    "h": "SpeakerA and SpeakerB have seen SLEEPING WITH THE ENEMY",
    "entailment": false,
    "dialog_source": "SW2010"
}
```


### Cite

[Towards Conversation Entailment: An Empirical Investigation](https://sled.eecs.umich.edu/publication/dblp-confemnlp-zhang-c-10/). *Chen Zhang, Joyce Chai*. EMNLP, 2010. [[Paper]](https://aclanthology.org/D10-1074/)

```tex
@inproceedings{zhang-chai-2010-towards,
    title = "Towards Conversation Entailment: An Empirical Investigation",
    author = "Zhang, Chen  and
      Chai, Joyce",
    booktitle = "Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2010",
    address = "Cambridge, MA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D10-1074",
    pages = "756--766",
}
```
task_categories:conversational task_categories:text-classification annotations_creators:expert-generated language_creators:crowdsourced multilinguality:monolingual size_categories:n<1K source_datasets:original language:en conversational entailment region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced"], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["conversational", "text-classification"], "task_ids": [], "pretty_name": "Conversation-Entailment", "tags": ["conversational", "entailment"]}
TAGS
#task_categories-conversational #task_categories-text-classification #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #conversational #entailment #region-us 

# Conversation-Entailment

Official dataset for Towards Conversation Entailment: An Empirical Investigation. *Chen Zhang, Joyce Chai*. EMNLP, 2010

!Towards Conversation Entailment

## Overview

Textual entailment has mainly focused on inference from written text in monologue. Recent years also observed an increasing amount of conversational data such as conversation scripts of meetings, call center records, court proceedings, as well as online chatting. Although conversation is a form of language, it is different from monologue text with several unique characteristics. The key distinctive features include turn-taking between participants, grounding between participants, different linguistic phenomena of utterances, and conversation implicatures. Traditional approaches dealing with textual entailment were not designed to handle these unique conversation behaviors and thus to support automated entailment from conversation scripts. This project intends to address this limitation.

### Download

* HuggingFace-Dataset
* DropBox

### Data Sample



### Cite

Towards Conversation Entailment: An Empirical Investigation. *Chen Zhang, Joyce Chai*. EMNLP, 2010. [[Paper]](URL


# Conversation-Entailment

Official dataset for Towards Conversation Entailment: An Empirical Investigation. *Chen Zhang, Joyce Chai*. EMNLP, 2010

!Towards Conversation Entailment ## Overview

Textual entailment has mainly focused on inference from written text in monologue. Recent years also observed an increasing amount of conversational data such as conversation scripts of meetings, call center records, court proceedings, as well as online chatting. Although conversation is a form of language, it is different from monologue text with several unique characteristics. The key distinctive features include turn-taking between participants, grounding between participants, different linguistic phenomena of utterances, and conversation implicatures. Traditional approaches dealing with textual entailment were not designed to handle these unique conversation behaviors and thus to support automated entailment from conversation scripts. This project intends to address this limitation. ### Download

* HuggingFace-Dataset
* DropBox ### Data Sample ### Cite

Towards Conversation Entailment: An Empirical Investigation. *Chen Zhang, Joyce Chai*. EMNLP, 2010. [[Paper]](URL
TAGS
#task_categories-conversational #task_categories-text-classification #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #conversational #entailment #region-us 
 # Conversation-Entailment

Official dataset for Towards Conversation Entailment: An Empirical Investigation. *Chen Zhang, Joyce Chai*. EMNLP, 2010

!Towards Conversation Entailment ## Overview

Textual entailment has mainly focused on inference from written text in monologue. Recent years also observed an increasing amount of conversational data such as conversation scripts of meetings, call center records, court proceedings, as well as online chatting. Although conversation is a form of language, it is different from monologue text with several unique characteristics. The key distinctive features include turn-taking between participants, grounding between participants, different linguistic phenomena of utterances, and conversation implicatures. Traditional approaches dealing with textual entailment were not designed to handle these unique conversation behaviors and thus to support automated entailment from conversation scripts. This project intends to address this limitation. ### Download

* HuggingFace-Dataset
* DropBox ### Data Sample ### Cite

Towards Conversation Entailment: An Empirical Investigation. *Chen Zhang, Joyce Chai*. EMNLP, 2010. [[Paper]](URL
passage: TAGS
#task_categories-conversational #task_categories-text-classification #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #conversational #entailment #region-us 
# Conversation-Entailment

Official dataset for Towards Conversation Entailment: An Empirical Investigation. *Chen Zhang, Joyce Chai*. EMNLP, 2010

!Towards Conversation Entailment## Overview

Textual entailment has mainly focused on inference from written text in monologue. Recent years also observed an increasing amount of conversational data such as conversation scripts of meetings, call center records, court proceedings, as well as online chatting. Although conversation is a form of language, it is different from monologue text with several unique characteristics. The key distinctive features include turn-taking between participants, grounding between participants, different linguistic phenomena of utterances, and conversation implicatures. Traditional approaches dealing with textual entailment were not designed to handle these unique conversation behaviors and thus to support automated entailment from conversation scripts. This project intends to address this limitation.### Download

* HuggingFace-Dataset
* DropBox### Data Sample### Cite

Towards Conversation Entailment: An Empirical Investigation. *Chen Zhang, Joyce Chai*. EMNLP, 2010. [[Paper]](URL