Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.

Example Input: Context: In 2009, 78.5% of Dallas (city) commuters drive to work alone. The 2009 modal share for Dallas (city) commuters are 10.7% for carpooling, 3.9% for transit, 1.9% for walking, and .1% for cycling. In 2015, the American Community Survey estimated modal shares for Dallas (city) commuters of 75.4% for driving alone, 12.8% for carpooling, 3.5% for riding transit, 1.9% for walking, and .2% for cycling. The city of Dallas has a higher than average percentage of households without a car. In 2015, 10.2 percent of Dallas households lacked a car, and decreased to 9.1 percent in 2016. The national average was 8.7 percent in 2016. Dallas averaged 1.59 cars per household in 2016, compared to a national average of 1.8. 
 Question: Which group in percent of commuters in Dallas in 2009 is larger: carpooling or walking?
Example Output: carpooling

Example Input: Context: Ana-Neda (Bulgarian and Serbian Cyrillic: -; fl. 1323-1324) was the Empress consort of Bulgaria briefly in 1323 - 1324 as the spouse of ''Despot of Vidin'' Michael Shishman who was elected as Emperor of Bulgaria in 1323. 
 Question: What was Ana-Neda's child's name?
Example Output: shishman

Example Input: Context: The human fibulin-1 gene, FBLN1, encodes four splice variants designated fibulin-1A, B, C and D, which differ in their carboxy terminal regions. 
 Question: In what living being can FBLN1 be found?
Example Output:
human