carlosejimenez/ax_corpus · Datasets at Hugging Face

idx int64 0 1.1k	text stringlengths 32 582
100	The villain is the character who tends to have a negative effect on other characters. The villain is the character who tends to have a negative correlation with other characters.
101	The villain is the character who tends to have a negative correlation with other characters. The villain is the character who tends to have a negative effect on other characters.
102	Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. Semantic parsing typically needs a set of operations to query the knowledge base and process the results.
103	Semantic parsing typically needs a set of operations to query the knowledge base and process the results. Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.
104	Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. Semantic parsing typically creates a set of operations to query the knowledge base and process the results.
105	Semantic parsing typically creates a set of operations to query the knowledge base and process the results. Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.
106	Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. Semantic parsing infrequently creates a set of operations to query the knowledge base and process the results.
107	Semantic parsing infrequently creates a set of operations to query the knowledge base and process the results. Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.
108	John broke the window. The window was broken by John.
109	The window was broken by John. John broke the window.
110	John broke the window. The window broke John.
111	The window broke John. John broke the window.
112	Mueller’s team asked former senior Justice Department officials for information. Former senior Justice Department officials were asked for information by Mueller's team.
113	Former senior Justice Department officials were asked for information by Mueller's team. Mueller’s team asked former senior Justice Department officials for information.
114	Mueller’s team asked former senior Justice Department officials for information. Mueller’s team was asked for information by former senior Justice Department officials.
115	Mueller’s team was asked for information by former senior Justice Department officials. Mueller’s team asked former senior Justice Department officials for information.
116	Mueller’s team asked former senior Justice Department officials for information. Mueller’s team was asked for information.
117	Mueller’s team was asked for information. Mueller’s team asked former senior Justice Department officials for information.
118	Mueller’s team asked former senior Justice Department officials for information. Former senior Justice Department officials weren't asked for information.
119	Former senior Justice Department officials weren't asked for information. Mueller’s team asked former senior Justice Department officials for information.
120	Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want. Everyone should be afraid of the part when Congress was asked to allow his cabinet secretaries to terminate whoever they want.
121	Everyone should be afraid of the part when Congress was asked to allow his cabinet secretaries to terminate whoever they want. Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want.
122	Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want. Everyone should be afraid of the part when he was asked to allow his cabinet secretaries to terminate whoever they want.
123	Everyone should be afraid of the part when he was asked to allow his cabinet secretaries to terminate whoever they want. Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want.
124	Cape sparrows eat seeds, along with soft plant parts and insects. Seeds, along with soft plant parts and insects, are eaten by cape sparrows.
125	Seeds, along with soft plant parts and insects, are eaten by cape sparrows. Cape sparrows eat seeds, along with soft plant parts and insects.
126	Cape sparrows eat seeds, along with soft plant parts and insects. Cape sparrows are eaten by seeds, along with soft plant parts and insects.
127	Cape sparrows are eaten by seeds, along with soft plant parts and insects. Cape sparrows eat seeds, along with soft plant parts and insects.
128	Cape sparrows eat seeds, along with soft plant parts and insects. Cape sparrows are eaten.
129	Cape sparrows are eaten. Cape sparrows eat seeds, along with soft plant parts and insects.
130	Cape sparrows eat seeds, along with soft plant parts and insects. Soft plant parts and insects eat seeds.
131	Soft plant parts and insects eat seeds. Cape sparrows eat seeds, along with soft plant parts and insects.
132	Cape sparrows eat seeds, along with soft plant parts and insects. Soft plant parts and insects are eaten.
133	Soft plant parts and insects are eaten. Cape sparrows eat seeds, along with soft plant parts and insects.
134	Relation extraction systems populate knowledge bases with facts from unstructured text corpora. Knowledge bases are populated with facts from unstructured text corpora by relation extraction systems.
135	Knowledge bases are populated with facts from unstructured text corpora by relation extraction systems. Relation extraction systems populate knowledge bases with facts from unstructured text corpora.
136	Relation extraction systems populate knowledge bases with facts from unstructured text corpora. Knowledge bases are populated by relation extraction systems with facts from unstructured text corpora.
137	Knowledge bases are populated by relation extraction systems with facts from unstructured text corpora. Relation extraction systems populate knowledge bases with facts from unstructured text corpora.
138	Relation extraction systems populate knowledge bases with facts from unstructured text corpora. Relation extraction systems are populated by knowledge bases with facts from unstructured text corpora.
139	Relation extraction systems are populated by knowledge bases with facts from unstructured text corpora. Relation extraction systems populate knowledge bases with facts from unstructured text corpora.
140	Relation extraction systems populate knowledge bases with facts from unstructured text corpora. Relation extraction systems are populated with facts from unstructured text corpora by knowledge bases.
141	Relation extraction systems are populated with facts from unstructured text corpora by knowledge bases. Relation extraction systems populate knowledge bases with facts from unstructured text corpora.
142	Relation extraction systems populate knowledge bases with facts from unstructured text corpora. Relation extraction systems populate knowledge bases with assertions from unstructured text corpora.
143	Relation extraction systems populate knowledge bases with assertions from unstructured text corpora. Relation extraction systems populate knowledge bases with facts from unstructured text corpora.
144	Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon. The recent move by Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon.
145	The recent move by Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon. Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon.
146	Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon. The recent move against Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon.
147	The recent move against Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon. Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon.
148	The man gets down on one knee and inspects the bottom of the elephant's foot only to find a large thorn deeply embedded. The man gets down on one knee and inspects the bottom of the foot of the elephant only to find a large thorn deeply embedded.
149	The man gets down on one knee and inspects the bottom of the foot of the elephant only to find a large thorn deeply embedded. The man gets down on one knee and inspects the bottom of the elephant's foot only to find a large thorn deeply embedded.
150	The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities. The population of the Cape sparrow has not decreased significantly, and is not seriously threatened by human activities.
151	The population of the Cape sparrow has not decreased significantly, and is not seriously threatened by human activities. The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities.
152	The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities. The population of the Cape sparrow has decreased significantly, and is seriously threatened by human activities.
153	The population of the Cape sparrow has decreased significantly, and is seriously threatened by human activities. The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities.
154	This paper presents an approach for understanding the contents of these message vectors by translating them into natural language. This paper presents an approach for understanding these message vectors' content by translating them into natural language.
155	This paper presents an approach for understanding these message vectors' content by translating them into natural language. This paper presents an approach for understanding the contents of these message vectors by translating them into natural language.
156	This paper presents an approach for understanding the contents of these message vectors by translating them into natural language. This paper presents an approach for understanding the contents of these message vectors by translating them into foreign language.
157	This paper presents an approach for understanding the contents of these message vectors by translating them into foreign language. This paper presents an approach for understanding the contents of these message vectors by translating them into natural language.
158	She is skilled at violin. She is a skilled violinist.
159	She is a skilled violinist. She is skilled at violin.
160	She is skilled. She is a skilled violinist.
161	She is a skilled violinist. She is skilled.
162	She is a surgeon and skilled violinist. She is a skilled surgeon.
163	She is a skilled surgeon. She is a surgeon and skilled violinist.
164	The combination of mentos and diet coke caused the explosion. Combining mentos and diet coke caused the explosion.
165	Combining mentos and diet coke caused the explosion. The combination of mentos and diet coke caused the explosion.
166	In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times. In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's submission of a letter of resignation, according to The New York Times.
167	In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's submission of a letter of resignation, according to The New York Times. In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times.
168	In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times. In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's withholding of a letter of resignation, according to The New York Times.
169	In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's withholding of a letter of resignation, according to The New York Times. In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times.
170	Thought this was super cool, and a really important step in preserving all the physical books. Thought this was super cool, and a really important step in the preservation of all the physical books.
171	Thought this was super cool, and a really important step in the preservation of all the physical books. Thought this was super cool, and a really important step in preserving all the physical books.
172	Thought this was super cool, and a really important step in preserving all the physical books. Thought this was super cool, and a really important step in the destruction of all the physical books.
173	Thought this was super cool, and a really important step in the destruction of all the physical books. Thought this was super cool, and a really important step in preserving all the physical books.
174	Thought this was super cool, and a really important step in preserving all the physical books. Thought this was super cool, and a really important step in the processing of all the physical books.
175	Thought this was super cool, and a really important step in the processing of all the physical books. Thought this was super cool, and a really important step in preserving all the physical books.
176	Thought this was super cool, and a really important step in preserving all the physical books. Thought this was super cool, and a really important step in all the physical books' preservation.
177	Thought this was super cool, and a really important step in all the physical books' preservation. Thought this was super cool, and a really important step in preserving all the physical books.
178	During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941. During World War II, the five remaining Greek boats were sunk by Axis aircraft when the Germans invaded Greece in April 1941.
179	During World War II, the five remaining Greek boats were sunk by Axis aircraft when the Germans invaded Greece in April 1941. During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941.
180	During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941. During World War II, the five remaining Greek boats were sunk by Axis aircraft during the Greek invasion of Germany in April 1941.
181	During World War II, the five remaining Greek boats were sunk by Axis aircraft during the Greek invasion of Germany in April 1941. During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941.
182	Often, the first step in building statistical NLP models involves feature extraction. Often, the first step in building statistical NLP models involves extracting features.
183	Often, the first step in building statistical NLP models involves extracting features. Often, the first step in building statistical NLP models involves feature extraction.
184	Bob likes Alice. Alice likes Bob.
185	Alice likes Bob. Bob likes Alice.
186	Bob is Alice's parent. Alice is Bob's parent.
187	Alice is Bob's parent. Bob is Alice's parent.
188	President Trump will ask Republican lawmakers to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy. Republican lawmakers will ask President Trump to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy.
189	Republican lawmakers will ask President Trump to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy. President Trump will ask Republican lawmakers to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy.
190	Mythbusters proved that bulls react to movement and not color. Bulls proved that mythbusters react to movement and not color.
191	Bulls proved that mythbusters react to movement and not color. Mythbusters proved that bulls react to movement and not color.
192	The models generate translations with their constituency tree and their attention-derived alignments. The translations generate models with their constituency tree and their attention-derived alignments.
193	The translations generate models with their constituency tree and their attention-derived alignments. The models generate translations with their constituency tree and their attention-derived alignments.
194	Bob married Alice. Alice married Bob.
195	Alice married Bob. Bob married Alice.
196	The head of Russia's foreign spy service met with top U.S. intelligence officials, despite existing sanctions. Top U.S. intelligence officials met with the head of Russia's foreign spy service, despite existing sanctions.
197	Top U.S. intelligence officials met with the head of Russia's foreign spy service, despite existing sanctions. The head of Russia's foreign spy service met with top U.S. intelligence officials, despite existing sanctions.
198	Bees do not follow the same rules as airplanes. Airplanes do not follow the same rules as bees.
199	Airplanes do not follow the same rules as bees. Bees do not follow the same rules as airplanes.

100

The villain is the character who tends to have a negative effect on other characters. The villain is the character who tends to have a negative correlation with other characters.

101

The villain is the character who tends to have a negative correlation with other characters. The villain is the character who tends to have a negative effect on other characters.

102

Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. Semantic parsing typically needs a set of operations to query the knowledge base and process the results.

103

Semantic parsing typically needs a set of operations to query the knowledge base and process the results. Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.

104

Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. Semantic parsing typically creates a set of operations to query the knowledge base and process the results.

105

Semantic parsing typically creates a set of operations to query the knowledge base and process the results. Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.

106

Semantic parsing typically requires using a set of operations to query the knowledge base and process the results. Semantic parsing infrequently creates a set of operations to query the knowledge base and process the results.

107

Semantic parsing infrequently creates a set of operations to query the knowledge base and process the results. Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.

108

John broke the window. The window was broken by John.

109

The window was broken by John. John broke the window.

110

John broke the window. The window broke John.

111

The window broke John. John broke the window.

112

Mueller’s team asked former senior Justice Department officials for information. Former senior Justice Department officials were asked for information by Mueller's team.

113

Former senior Justice Department officials were asked for information by Mueller's team. Mueller’s team asked former senior Justice Department officials for information.

114

Mueller’s team asked former senior Justice Department officials for information. Mueller’s team was asked for information by former senior Justice Department officials.

115

Mueller’s team was asked for information by former senior Justice Department officials. Mueller’s team asked former senior Justice Department officials for information.

116

Mueller’s team asked former senior Justice Department officials for information. Mueller’s team was asked for information.

117

Mueller’s team was asked for information. Mueller’s team asked former senior Justice Department officials for information.

118

Mueller’s team asked former senior Justice Department officials for information. Former senior Justice Department officials weren't asked for information.

119

Former senior Justice Department officials weren't asked for information. Mueller’s team asked former senior Justice Department officials for information.

120

Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want. Everyone should be afraid of the part when Congress was asked to allow his cabinet secretaries to terminate whoever they want.

121

Everyone should be afraid of the part when Congress was asked to allow his cabinet secretaries to terminate whoever they want. Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want.

122

Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want. Everyone should be afraid of the part when he was asked to allow his cabinet secretaries to terminate whoever they want.

123

Everyone should be afraid of the part when he was asked to allow his cabinet secretaries to terminate whoever they want. Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want.

124

Cape sparrows eat seeds, along with soft plant parts and insects. Seeds, along with soft plant parts and insects, are eaten by cape sparrows.

125

Seeds, along with soft plant parts and insects, are eaten by cape sparrows. Cape sparrows eat seeds, along with soft plant parts and insects.

126

Cape sparrows eat seeds, along with soft plant parts and insects. Cape sparrows are eaten by seeds, along with soft plant parts and insects.

127

Cape sparrows are eaten by seeds, along with soft plant parts and insects. Cape sparrows eat seeds, along with soft plant parts and insects.

128

Cape sparrows eat seeds, along with soft plant parts and insects. Cape sparrows are eaten.

129

Cape sparrows are eaten. Cape sparrows eat seeds, along with soft plant parts and insects.

130

Cape sparrows eat seeds, along with soft plant parts and insects. Soft plant parts and insects eat seeds.

131

Soft plant parts and insects eat seeds. Cape sparrows eat seeds, along with soft plant parts and insects.

132

Cape sparrows eat seeds, along with soft plant parts and insects. Soft plant parts and insects are eaten.

133

Soft plant parts and insects are eaten. Cape sparrows eat seeds, along with soft plant parts and insects.

134

Relation extraction systems populate knowledge bases with facts from unstructured text corpora. Knowledge bases are populated with facts from unstructured text corpora by relation extraction systems.

135

Knowledge bases are populated with facts from unstructured text corpora by relation extraction systems. Relation extraction systems populate knowledge bases with facts from unstructured text corpora.

136

Relation extraction systems populate knowledge bases with facts from unstructured text corpora. Knowledge bases are populated by relation extraction systems with facts from unstructured text corpora.

137

Knowledge bases are populated by relation extraction systems with facts from unstructured text corpora. Relation extraction systems populate knowledge bases with facts from unstructured text corpora.

138

Relation extraction systems populate knowledge bases with facts from unstructured text corpora. Relation extraction systems are populated by knowledge bases with facts from unstructured text corpora.

139

Relation extraction systems are populated by knowledge bases with facts from unstructured text corpora. Relation extraction systems populate knowledge bases with facts from unstructured text corpora.

140

Relation extraction systems populate knowledge bases with facts from unstructured text corpora. Relation extraction systems are populated with facts from unstructured text corpora by knowledge bases.

141

Relation extraction systems are populated with facts from unstructured text corpora by knowledge bases. Relation extraction systems populate knowledge bases with facts from unstructured text corpora.

142

Relation extraction systems populate knowledge bases with facts from unstructured text corpora. Relation extraction systems populate knowledge bases with assertions from unstructured text corpora.

143

Relation extraction systems populate knowledge bases with assertions from unstructured text corpora. Relation extraction systems populate knowledge bases with facts from unstructured text corpora.

144

Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon. The recent move by Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon.

145

The recent move by Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon. Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon.

146

Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon. The recent move against Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon.

147

The recent move against Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon. Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon.

148

The man gets down on one knee and inspects the bottom of the elephant's foot only to find a large thorn deeply embedded. The man gets down on one knee and inspects the bottom of the foot of the elephant only to find a large thorn deeply embedded.

149

The man gets down on one knee and inspects the bottom of the foot of the elephant only to find a large thorn deeply embedded. The man gets down on one knee and inspects the bottom of the elephant's foot only to find a large thorn deeply embedded.

150

The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities. The population of the Cape sparrow has not decreased significantly, and is not seriously threatened by human activities.

151

The population of the Cape sparrow has not decreased significantly, and is not seriously threatened by human activities. The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities.

152

The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities. The population of the Cape sparrow has decreased significantly, and is seriously threatened by human activities.

153

The population of the Cape sparrow has decreased significantly, and is seriously threatened by human activities. The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities.

154

This paper presents an approach for understanding the contents of these message vectors by translating them into natural language. This paper presents an approach for understanding these message vectors' content by translating them into natural language.

155

This paper presents an approach for understanding these message vectors' content by translating them into natural language. This paper presents an approach for understanding the contents of these message vectors by translating them into natural language.

156

This paper presents an approach for understanding the contents of these message vectors by translating them into natural language. This paper presents an approach for understanding the contents of these message vectors by translating them into foreign language.

157

This paper presents an approach for understanding the contents of these message vectors by translating them into foreign language. This paper presents an approach for understanding the contents of these message vectors by translating them into natural language.

158

She is skilled at violin. She is a skilled violinist.

159

She is a skilled violinist. She is skilled at violin.

160

She is skilled. She is a skilled violinist.

161

She is a skilled violinist. She is skilled.

162

She is a surgeon and skilled violinist. She is a skilled surgeon.

163

She is a skilled surgeon. She is a surgeon and skilled violinist.

164

The combination of mentos and diet coke caused the explosion. Combining mentos and diet coke caused the explosion.

165

Combining mentos and diet coke caused the explosion. The combination of mentos and diet coke caused the explosion.

166

In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times. In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's submission of a letter of resignation, according to The New York Times.

167

In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's submission of a letter of resignation, according to The New York Times. In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times.

168

In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times. In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's withholding of a letter of resignation, according to The New York Times.

169

In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's withholding of a letter of resignation, according to The New York Times. In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times.

170

Thought this was super cool, and a really important step in preserving all the physical books. Thought this was super cool, and a really important step in the preservation of all the physical books.

171

Thought this was super cool, and a really important step in the preservation of all the physical books. Thought this was super cool, and a really important step in preserving all the physical books.

172

Thought this was super cool, and a really important step in preserving all the physical books. Thought this was super cool, and a really important step in the destruction of all the physical books.

173

Thought this was super cool, and a really important step in the destruction of all the physical books. Thought this was super cool, and a really important step in preserving all the physical books.

174

Thought this was super cool, and a really important step in preserving all the physical books. Thought this was super cool, and a really important step in the processing of all the physical books.

175

Thought this was super cool, and a really important step in the processing of all the physical books. Thought this was super cool, and a really important step in preserving all the physical books.

176

Thought this was super cool, and a really important step in preserving all the physical books. Thought this was super cool, and a really important step in all the physical books' preservation.

177

Thought this was super cool, and a really important step in all the physical books' preservation. Thought this was super cool, and a really important step in preserving all the physical books.

178

During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941. During World War II, the five remaining Greek boats were sunk by Axis aircraft when the Germans invaded Greece in April 1941.

179

During World War II, the five remaining Greek boats were sunk by Axis aircraft when the Germans invaded Greece in April 1941. During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941.

180

During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941. During World War II, the five remaining Greek boats were sunk by Axis aircraft during the Greek invasion of Germany in April 1941.

181

During World War II, the five remaining Greek boats were sunk by Axis aircraft during the Greek invasion of Germany in April 1941. During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941.

182

Often, the first step in building statistical NLP models involves feature extraction. Often, the first step in building statistical NLP models involves extracting features.

183

Often, the first step in building statistical NLP models involves extracting features. Often, the first step in building statistical NLP models involves feature extraction.

184

Bob likes Alice. Alice likes Bob.

185

Alice likes Bob. Bob likes Alice.

186

Bob is Alice's parent. Alice is Bob's parent.

187

Alice is Bob's parent. Bob is Alice's parent.

188

President Trump will ask Republican lawmakers to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy. Republican lawmakers will ask President Trump to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy.

189

Republican lawmakers will ask President Trump to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy. President Trump will ask Republican lawmakers to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy.

190

Mythbusters proved that bulls react to movement and not color. Bulls proved that mythbusters react to movement and not color.

191

Bulls proved that mythbusters react to movement and not color. Mythbusters proved that bulls react to movement and not color.

192

The models generate translations with their constituency tree and their attention-derived alignments. The translations generate models with their constituency tree and their attention-derived alignments.

193

The translations generate models with their constituency tree and their attention-derived alignments. The models generate translations with their constituency tree and their attention-derived alignments.

194

Bob married Alice. Alice married Bob.

195

Alice married Bob. Bob married Alice.

196

The head of Russia's foreign spy service met with top U.S. intelligence officials, despite existing sanctions. Top U.S. intelligence officials met with the head of Russia's foreign spy service, despite existing sanctions.

197

Top U.S. intelligence officials met with the head of Russia's foreign spy service, despite existing sanctions. The head of Russia's foreign spy service met with top U.S. intelligence officials, despite existing sanctions.

198

Bees do not follow the same rules as airplanes. Airplanes do not follow the same rules as bees.

199

Airplanes do not follow the same rules as bees. Bees do not follow the same rules as airplanes.